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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. 2733
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    Explanations

    mentions of physical fouls or inappropriate actions in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to foul play or misconduct

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ocobo
    -0.77
    _>
    -0.74
    edia
    -0.73
    hare
    -0.72
    akeru
    -0.72
    itan
    -0.68
    Downloadha
    -0.68
     Airl
    -0.65
     Twain
    -0.64
    RGB
    -0.64
    POSITIVE LOGITS
    cery
    0.88
    terness
    0.84
    sie
    0.83
     smelling
    0.80
    s
    0.77
     foul
    0.73
    sheet
    0.67
    isine
    0.67
    mouth
    0.65
    blooded
    0.65
    Activations Density 0.015%

    No Known Activations