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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. 3-RES-JB
    11. 24188
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    Explanations

    mentions of military terms, such as 'army'

    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 @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    York
    -0.75
    ricular
    -0.71
    rencies
    -0.69
    lations
    -0.68
    Ħ¢
    -0.68
    Hop
    -0.68
    eway
    -0.67
    uran
    -0.67
    events
    -0.66
    gements
    -0.64
    POSITIVE LOGITS
     colonel
    1.05
     Corps
    1.00
     corps
    0.95
     fatig
    0.92
     garrison
    0.91
     barracks
    0.86
    naire
    0.85
     generals
    0.85
     army
    0.83
     stationed
    0.79
    Activations Density 0.016%

    No Known Activations