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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. 0-RES-JB
    11. 2333
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    INDEX
    Explanations

    mentions of clubs or organizations

    oai_token-act-pair · gpt-3.5-turbo

    references to sports clubs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enegger
    -0.71
    4000
    -0.70
     Resp
    -0.66
    642
    -0.66
    opsis
    -0.66
     Render
    -0.66
     Larson
    -0.66
    renheit
    -0.65
     Maps
    -0.65
    oute
    -0.65
    POSITIVE LOGITS
     club
    3.68
     clubs
    3.00
    club
    2.86
     Club
    2.68
    Club
    2.63
     Clubs
    2.48
     clubhouse
    1.64
     nightclub
    1.55
     stadium
    1.23
     league
    1.19
    Activations Density 0.018%

    No Known Activations