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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. 9-RES-JB
    11. 8603
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    Explanations

    references to firearms, specifically rifles

    oai_token-act-pair · gpt-3.5-turbo

    references to rifles and firearms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Archdemon
    -1.00
    ç«
    -0.70
     Dragons
    -0.69
     Hort
    -0.67
     Ceres
    -0.65
     Debor
    -0.64
    istors
    -0.64
     Chandra
    -0.63
    graded
    -0.63
    uve
    -0.63
    POSITIVE LOGITS
     rifle
    1.06
     rifles
    1.01
    linger
    0.93
    powder
    0.92
     ammunition
    0.89
     Rifle
    0.88
     shooter
    0.85
     shooters
    0.85
     barrel
    0.84
    senal
    0.83
    Activations Density 0.039%

    No Known Activations