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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. 17654
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    Explanations

    written documents or memos

    oai_token-act-pair · gpt-3.5-turbo

    mentions of memos

    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
    Interstitial
    -0.76
     Tune
    -0.69
    gain
    -0.68
    alien
    -0.63
    Pause
    -0.63
     Ow
    -0.63
    reek
    -0.61
    Featured
    -0.61
    ulia
    -0.60
     Fen
    -0.59
    POSITIVE LOGITS
    andum
    1.04
     memo
    1.03
    ographed
    0.95
     outlining
    0.91
     memos
    0.91
    osal
    0.85
     circulated
    0.84
     titled
    0.81
    ized
    0.81
     memorandum
    0.80
    Activations Density 0.034%

    No Known Activations