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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. 9492
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    Explanations

    proper nouns or names, potentially of people or places

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and significant entities within the text

    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
    Not in Any Lists

    No Comments

    Negative Logits
    hap
    -0.88
    iffin
    -0.62
     Floor
    -0.62
     Seat
    -0.62
    kins
    -0.61
    pell
    -0.60
    ivably
    -0.60
     Flo
    -0.57
    morrow
    -0.57
    advertisement
    -0.57
    POSITIVE LOGITS
    taboola
    0.68
    ´
    0.66
    tarians
    0.66
     wont
    0.63
     cant
    0.63
    wcs
    0.63
     ',
    0.62
    ses
    0.61
    tro
    0.61
     scrut
    0.59
    Activations Density 0.307%

    No Known Activations