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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. 0-RES-JB
    11. 23153
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    INDEX
    Explanations

    mentions of brand names

    oai_token-act-pair · gpt-3.5-turbo

    mentions of various brands

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bage
    -0.75
     Detention
    -0.73
    sv
    -0.72
    icum
    -0.68
     Clerk
    -0.67
     Examination
    -0.66
     Hare
    -0.66
    usc
    -0.65
    hered
    -0.65
     Procedure
    -0.64
    POSITIVE LOGITS
     brands
    3.71
     Brands
    2.29
     brand
    2.02
     manufacturers
    1.72
     labels
    1.65
     marketers
    1.64
     advertisers
    1.64
    Brand
    1.61
     companies
    1.60
     retailers
    1.57
    Activations Density 0.016%

    No Known Activations