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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. 7148
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    Explanations

    terms related to military warfare and battlefields

    oai_token-act-pair · gpt-3.5-turbo

    terms related to conflict and warfare

    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
    ascript
    -0.79
    perm
    -0.76
    gger
    -0.74
    Wan
    -0.70
    uana
    -0.70
    secution
    -0.69
    arent
    -0.68
    aky
    -0.66
    acci
    -0.66
    jiang
    -0.65
    POSITIVE LOGITS
     battlefield
    1.04
    halla
    0.85
    sburg
    0.83
    front
    0.81
    sburgh
    0.81
     combatants
    0.74
     battles
    0.73
     Battlefield
    0.71
     roy
    0.71
     Royale
    0.70
    Activations Density 0.015%

    No Known Activations