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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. 3617
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    Explanations

    concepts related to opposing forces or choices

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to economic structures and societal 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
     kissed
    -0.70
    milo
    -0.67
    nces
    -0.64
     bitten
    -0.61
     herpes
    -0.60
    naissance
    -0.59
     antiv
    -0.57
    jew
    -0.57
    actionDate
    -0.55
     "$:/
    -0.55
    POSITIVE LOGITS
    .
    0.75
     equivalents
    0.75
    .[
    0.73
     counterparts
    0.70
     ones
    0.68
    ;
    0.66
     because
    0.66
     altogether
    0.66
    SPONSORED
    0.64
    +.
    0.63
    Activations Density 0.645%

    No Known Activations