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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. 8995
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    Explanations

    database-related coding components, particularly focusing on the MongoDB environment

    oai_token-act-pair · gpt-3.5-turbo

    punctuation and structure in programming code

    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
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    Negative Logits
     GOODMAN
    -0.70
     Mae
    -0.67
     trance
    -0.66
    ancial
    -0.63
     lurking
    -0.63
     pir
    -0.62
     wise
    -0.62
    esters
    -0.61
     quo
    -0.61
    ertodd
    -0.60
    POSITIVE LOGITS
    prototype
    1.11
    length
    1.08
    remove
    1.07
    split
    1.06
    replace
    1.05
    apply
    1.04
    get
    1.04
    find
    1.04
    create
    1.01
    append
    1.01
    Activations Density 0.050%

    No Known Activations