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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. 12565
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    Explanations

    references to war and military terms

    oai_token-act-pair · gpt-3.5-turbo

    mentions of war-related terms

    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
    ablishment
    -0.80
    clair
    -0.76
    aminer
    -0.73
    apo
    -0.73
    icut
    -0.71
    aye
    -0.71
    hemy
    -0.70
    urtle
    -0.70
    ogene
    -0.70
    essee
    -0.70
    POSITIVE LOGITS
    rior
    0.81
     WAR
    0.80
    NING
    0.80
    CENT
    0.79
     totals
    0.78
    MET
    0.76
    SHIP
    0.75
    BAT
    0.73
    EST
    0.72
    MAT
    0.72
    Activations Density 0.012%

    No Known Activations