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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. 7-RES-JB
    11. 18777
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    Explanations

    statistical information and survey results

    oai_token-act-pair · gpt-3.5-turbo

    numerical representations related to statistics or survey results

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     scoop
    -0.66
    ĸļ
    -0.66
     esc
    -0.66
     dil
    -0.65
     rails
    -0.64
     cannibal
    -0.63
     rendition
    -0.63
     poaching
    -0.63
     sling
    -0.62
     decom
    -0.61
    POSITIVE LOGITS
    including
    0.95
    fol
    0.82
    especially
    0.82
    particularly
    0.78
    hran
    0.75
    ikhail
    0.74
    excluding
    0.73
    who
    0.73
     including
    0.71
     Leban
    0.70
    Activations Density 0.339%

    No Known Activations