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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. 15419
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    INDEX
    Explanations

    mentions of guns

    oai_token-act-pair · gpt-3.5-turbo

    references to guns or gun-related terminology

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
     Strawberry
    -0.89
     Archdemon
    -0.78
     Hort
    -0.72
    20439
    -0.71
    gaard
    -0.67
     Humph
    -0.67
    algia
    -0.66
    lihood
    -0.65
    Benef
    -0.65
     Spend
    -0.64
    POSITIVE LOGITS
    powder
    1.45
    nery
    1.12
    smith
    1.04
     guns
    1.04
    boats
    1.04
    ner
    1.02
    linger
    0.99
    fighters
    0.99
     blazing
    0.96
    lance
    0.96
    Activations Density 0.021%

    No Known Activations