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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. 15634
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    Explanations

    texts related to voting and results, with some mentions of travel and jobs

    oai_token-act-pair · gpt-3.5-turbo

    references to personal actions or experiences

    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
     withd
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    sequently
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     advoc
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    Due
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    shown
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    Additionally
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    ividual
    -0.62
    Furthermore
    -0.61
    similar
    -0.61
    Similarly
    -0.60
    POSITIVE LOGITS
     ain
    0.82
     damned
    0.79
    !)
    0.72
     roar
    0.71
     ya
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    )!
    0.70
     huh
    0.70
    ?!
    0.70
     damn
    0.70
     kidding
    0.69
    Activations Density 1.076%

    No Known Activations