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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. 23091
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    Explanations

    references to broad, overarching concepts or topics

    oai_token-act-pair · gpt-3.5-turbo

    phrases that discuss broad societal concepts or issues

    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
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    No Comments

    Negative Logits
     Prin
    -0.68
     Citiz
    -0.60
    poke
    -0.60
     pals
    -0.60
    Fax
    -0.59
    jin
    -0.58
    ¥
    -0.58
    letes
    -0.56
    draw
    -0.56
    gged
    -0.55
    POSITIVE LOGITS
     relativity
    0.97
    orea
    0.81
     terms
    0.78
    edia
    0.75
    terms
    0.73
     ILCS
    0.72
    ombat
    0.71
    .—
    0.70
    .--
    0.63
    izo
    0.63
    Activations Density 0.067%

    No Known Activations