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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. 6-RES-JB
    11. 23807
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    Explanations

    numerical values indicating memory or storage capacity in gigabytes

    oai_token-act-pair · gpt-3.5-turbo

    numerical values related to memory or storage capacity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    sterdam
    -0.95
    mare
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    reon
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    andise
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    ulhu
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    agnetic
    -0.69
    sein
    -0.69
    omen
    -0.67
    roit
    -0.66
    aken
    -0.66
    POSITIVE LOGITS
    interstitial
    0.93
    essed
    0.91
    ²¾
    0.83
    esses
    0.79
    untarily
    0.72
    çĶŁ
    0.71
    ocity
    0.71
    cffff
    0.70
    ess
    0.70
    288
    0.68
    Activations Density 0.045%

    No Known Activations