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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. 4-RES-JB
    11. 9730
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    Explanations

    words related to tactics and strategies, particularly in the context of sports or competition

    oai_token-act-pair · gpt-3.5-turbo

    references to offensive strategies in sports contexts

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

    No Comments

    Negative Logits
    bourg
    -0.77
    EVA
    -0.76
    zl
    -0.68
     Clover
    -0.68
    éĸ
    -0.64
    grave
    -0.64
    azo
    -0.64
     Kok
    -0.63
    ioxide
    -0.62
    leaf
    -0.61
    POSITIVE LOGITS
     offense
    0.97
     Offense
    0.97
    ENSE
    0.83
     Rodgers
    0.73
     linemen
    0.71
    scill
    0.71
    llor
    0.70
     oriented
    0.70
     offensively
    0.70
    ionage
    0.68
    Activations Density 0.015%

    No Known Activations