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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. 2-RES-JB
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    Explanations

    mentions of military organizations or forces

    oai_token-act-pair · gpt-3.5-turbo

    references to military forces or armies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    Ħ¢
    -0.72
    York
    -0.72
    ricular
    -0.72
    lations
    -0.71
    20439
    -0.69
     Blessed
    -0.69
    events
    -0.68
    ostics
    -0.66
    luaj
    -0.65
    ostic
    -0.65
    POSITIVE LOGITS
    naire
    0.99
     colonel
    0.92
     fatig
    0.89
     Corps
    0.88
     corps
    0.87
    naires
    0.86
     army
    0.83
     garrison
    0.80
     censor
    0.79
     generals
    0.76
    Activations Density 0.014%

    No Known Activations