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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. 1-RES-JB
    11. 23597
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    INDEX
    Explanations

    proper nouns with "enberg" at the end

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals or families

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    OPS
    -0.70
    Liquid
    -0.69
    Same
    -0.64
    CLOSE
    -0.62
    Less
    -0.61
    GO
    -0.61
     wake
    -0.61
    UM
    -0.61
    Buy
    -0.61
    Solid
    -0.60
    POSITIVE LOGITS
    enberg
    1.55
    enstein
    1.13
    stein
    1.05
    stadt
    1.04
    sburg
    1.04
    schild
    1.00
    enthal
    0.99
    enburg
    0.95
    liga
    0.94
    wald
    0.93
    Activations Density 0.007%

    No Known Activations