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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. 6-RES-JB
    11. 426
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    oai_token-act-pair · gpt-3.5-turbo

    acronyms, abbreviations, and specific identifiers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     SERV
    -0.63
     Wonderland
    -0.60
     Palest
    -0.59
     Morse
    -0.59
     STATS
    -0.59
     ket
    -0.58
    imov
    -0.58
     540
    -0.57
     Laos
    -0.56
     arsenic
    -0.56
    POSITIVE LOGITS
    oshenko
    0.94
    ulhu
    0.88
    uyomi
    0.84
    dfx
    0.82
    edo
    0.78
    uv
    0.76
    hiba
    0.76
    umatic
    0.75
    dden
    0.75
    culosis
    0.74
    Activations Density 0.278%

    No Known Activations