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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. 13587
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    Explanations

    references to drafts, especially in the context of sports or documents

    oai_token-act-pair · gpt-3.5-turbo

    terms related to drafts and their various contexts

    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
    ylum
    -0.81
     Moment
    -0.72
     Sell
    -0.70
     rally
    -0.68
    ooter
    -0.65
     0004
    -0.64
     SNP
    -0.64
    idine
    -0.64
     Catch
    -0.63
     GAME
    -0.63
    POSITIVE LOGITS
     drafts
    3.72
     briefs
    1.11
    Writ
    1.05
    draft
    1.00
     writings
    0.99
     resear
    0.95
     dra
    0.95
     influences
    0.93
     handwriting
    0.93
     archives
    0.90
    Activations Density 0.032%

    No Known Activations