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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. 11-RES-JB
    11. 5385
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    INDEX
    Explanations

    phrases attributed to specific companies or products

    oai_token-act-pair · gpt-3.5-turbo

    references to specific company names and brands

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    \.
    -0.74
     penet
    -0.69
    htaking
    -0.68
     penetrating
    -0.67
    casts
    -0.66
     trillions
    -0.64
     breeds
    -0.64
    ometimes
    -0.64
     ripe
    -0.64
     mould
    -0.61
    POSITIVE LOGITS
     spokesperson
    1.65
     spokeswoman
    1.61
     spokesman
    1.57
     spokes
    1.30
     representatives
    1.14
     representative
    1.10
     administrator
    1.08
     CEO
    1.07
     attorney
    1.02
     officials
    0.99
    Activations Density 0.299%

    No Known Activations