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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. 5641
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    Explanations

    references to software features, such as in project management tools and mobile devices

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific features in technology-related contexts

    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
    externalActionCode
    -0.81
    sis
    -0.77
    abama
    -0.74
    cffffcc
    -0.73
    esta
    -0.71
     millenn
    -0.71
    oner
    -0.68
    aline
    -0.67
    ignt
    -0.65
    ça
    -0.65
    POSITIVE LOGITS
    ttes
    0.93
    ivity
    0.80
     prominently
    0.80
    hered
    0.77
     Syndicate
    0.77
    fare
    0.75
    ious
    0.74
    ioned
    0.74
     creep
    0.73
    ulation
    0.73
    Activations Density 0.064%

    No Known Activations