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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. 6-RES-JB
    11. 7478
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    Explanations

    mentions of military or armed forces

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "army" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eway
    -0.76
    uran
    -0.72
    posed
    -0.69
    ricular
    -0.68
    lus
    -0.68
     Blessed
    -0.67
    ostic
    -0.67
    Hop
    -0.66
    ecast
    -0.65
    tions
    -0.65
    POSITIVE LOGITS
     colonel
    1.00
     fatig
    0.93
     Corps
    0.92
     corps
    0.92
    naire
    0.88
    naires
    0.87
     barracks
    0.87
     garrison
    0.86
     generals
    0.86
     stationed
    0.77
    Activations Density 0.021%

    No Known Activations