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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
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    Explanations

    mentions of military-related terms or concepts

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "army."

    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
    lations
    -0.73
    20439
    -0.71
    Hop
    -0.70
    uran
    -0.69
    eway
    -0.67
    lic
    -0.67
    York
    -0.67
    lus
    -0.67
    posed
    -0.65
    ricular
    -0.65
    POSITIVE LOGITS
     colonel
    1.01
     Corps
    0.94
     corps
    0.93
     fatig
    0.93
     generals
    0.93
     garrison
    0.92
     barracks
    0.89
    naires
    0.83
     army
    0.82
     reserv
    0.82
    Activations Density 0.022%

    No Known Activations