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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. 1-RES-JB
    11. 18658
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    Explanations

    words related to military units, specifically focusing on infantry battalions

    oai_token-act-pair · gpt-3.5-turbo

    military terms related to infantry, artillery, and cavalry

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    à
    -0.93
    pron
    -0.73
     Prosper
    -0.72
    ñ
    -0.68
     Neighbor
    -0.66
    à¥
    -0.66
    uras
    -0.65
    ________________
    -0.64
    ________________________
    -0.64
    Ven
    -0.62
    POSITIVE LOGITS
     infantry
    1.15
     colonel
    1.03
     barr
    1.01
     Infantry
    0.99
     battalion
    0.94
    utenant
    0.91
     barracks
    0.91
     cavalry
    0.90
     veter
    0.89
     artillery
    0.88
    Activations Density 0.020%

    No Known Activations