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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
    11. 16449
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    Explanations

    keywords related to military or territorial occupations

    oai_token-act-pair · gpt-3.5-turbo

    references to military or political occupations

    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
    orah
    -0.83
    disc
    -0.79
    ectar
    -0.76
    reci
    -0.76
    uber
    -0.75
    aum
    -0.75
    healthy
    -0.73
    doi
    -0.72
    mitt
    -0.70
    enic
    -0.70
    POSITIVE LOGITS
     occupation
    0.94
     forces
    0.86
     Borders
    0.83
    eering
    0.83
     sett
    0.82
     occup
    0.78
     force
    0.78
     Territories
    0.77
     camps
    0.77
     encamp
    0.77
    Activations Density 0.010%

    No Known Activations