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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. 13846
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    Explanations

    references to decades, musical references, and expressions like "hot" or "no pain, no gain"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the apostrophe

    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
     Archdemon
    -0.84
     SPD
    -0.81
     polyg
    -0.79
     printers
    -0.77
     Burnett
    -0.77
     Ames
    -0.76
     printer
    -0.73
     Ratio
    -0.73
     ABS
    -0.73
     Axel
    -0.72
    POSITIVE LOGITS
    cause
    1.77
    til
    1.60
    tis
    1.50
    Interstitial
    1.48
    Mech
    1.47
    Cause
    1.39
    keeper
    1.29
    neath
    1.28
    round
    1.26
    taboola
    1.23
    Activations Density 0.050%

    No Known Activations