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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. 1561
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    Explanations

    references to the company "Johnson & Johnson."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the "Johnson" entity, indicating a focus on the company or individuals associated with that name

    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
    ters
    -0.67
    uated
    -0.66
     Grounds
    -0.66
    tics
    -0.66
    peria
    -0.64
    minus
    -0.63
    eways
    -0.62
    lier
    -0.62
    uates
    -0.60
    nces
    -0.60
    POSITIVE LOGITS
    STON
    0.98
     Controls
    0.91
    iday
    0.83
    Johnson
    0.82
    ston
    0.81
    nen
    0.81
    son
    0.72
    sen
    0.68
    sburg
    0.68
    stown
    0.66
    Activations Density 0.038%

    No Known Activations