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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 4-RES-JB
    11. 14899
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    Explanations

    quantitative values or measurements

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to approximate quantities or measurements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ters
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    ieu
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    woods
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    oli
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    enders
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    ny
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    oly
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    neys
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    brow
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    Reviewer
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    POSITIVE LOGITS
    Ĥİ
    0.85
    atility
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     âĸĪ
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    roximately
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     Approximately
    0.72
     midway
    0.70
     200
    0.70
    capacity
    0.70
     175
    0.69
    ptoms
    0.69
    Activations Density 0.015%

    No Known Activations