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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. 7907
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    Explanations

    references to specific player positions in American football

    oai_token-act-pair · gpt-3.5-turbo

    designations for wide receivers and quarterbacks in American football

    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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    No Comments

    Negative Logits
    atom
    -0.77
     ç¥ŀ
    -0.73
    flies
    -0.71
    iasis
    -0.70
    hower
    -0.67
    ktop
    -0.67
    bourg
    -0.67
    sei
    -0.66
    cko
    -0.66
    osity
    -0.66
    POSITIVE LOGITS
    FP
    1.16
    Vs
    1.07
    FO
    1.03
    BO
    0.97
    GS
    0.95
    HC
    0.95
    FR
    0.95
    TF
    0.94
    BC
    0.94
    Bs
    0.93
    Activations Density 0.100%

    No Known Activations