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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. 8-RES-JB
    11. 11261
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    INDEX
    Explanations

    characters commonly used as separators

    oai_token-act-pair · gpt-3.5-turbo

    numbers associated with large quantities or statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enhagen
    -0.73
     maiden
    -0.63
     FTA
    -0.60
     wom
    -0.58
    alone
    -0.55
     ------
    -0.54
     reconc
    -0.51
     âĵĺ
    -0.51
     Laur
    -0.51
     fared
    -0.50
    POSITIVE LOGITS
    700
    1.37
    500
    1.37
    000
    1.36
    800
    1.35
    600
    1.27
    300
    1.23
    400
    1.19
    200
    1.15
    900
    1.08
    048
    1.06
    Activations Density 0.073%

    No Known Activations