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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. 7-RES-JB
    11. 12591
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    Explanations

    names of businesses and brands

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the letter 's'

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ilater
    -0.81
    boost
    -0.64
     consolid
    -0.61
    adjust
    -0.61
    Compare
    -0.59
    docker
    -0.58
    Palest
    -0.58
     arming
    -0.58
    protect
    -0.58
    SET
    -0.56
    POSITIVE LOGITS
    ullivan
    0.88
    wered
    0.88
    ippi
    0.87
    aurus
    0.84
    alty
    0.80
     Revenge
    0.80
    ugu
    0.80
    kaya
    0.79
     Tavern
    0.79
     Syndrome
    0.79
    Activations Density 0.156%

    No Known Activations