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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. 7-RES-JB
    11. 4850
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    Explanations

    numerical data related to statistics, figures, and measurements

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating statistical values or quantities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    acet
    -0.71
    ighting
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    rower
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    lees
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    iate
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    liction
    -0.65
    ador
    -0.64
    ursor
    -0.63
    reprene
    -0.63
    ath
    -0.63
    POSITIVE LOGITS
     ¥
    0.85
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     999
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     35
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     346
    0.78
     36
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     127
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     356
    0.77
    Activations Density 0.194%

    No Known Activations