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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. 9-RES-JB
    11. 23918
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    Explanations

    numbers related to quantities of people or things

    oai_token-act-pair · gpt-3.5-turbo

    quantitative data related to competitors and their numbers in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    BOOK
    -0.74
    itability
    -0.71
    ĺħ
    -0.71
    rend
    -0.71
    cale
    -0.69
    "]=>
    -0.64
    ¨
    -0.64
    Ô
    -0.63
    asm
    -0.63
    tip
    -0.63
    POSITIVE LOGITS
    teen
    0.89
     apiece
    0.82
     beds
    0.74
     bridges
    0.72
     flats
    0.70
     nights
    0.68
    doms
    0.67
     poles
    0.67
     attachments
    0.66
     assists
    0.66
    Activations Density 0.167%

    No Known Activations