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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. 19788
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    Explanations

    names of people and locations

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of sentence endings and punctuation

    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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    Negative Logits
    xual
    -0.94
    eers
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    Reviewer
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     [&
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    /-
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     SPD
    -0.63
    Interstitial
    -0.62
    è£ħ
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     âĢ¦"
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    POSITIVE LOGITS
    ford
    0.96
    endish
    0.91
    imar
    0.88
    isl
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    wick
    0.81
    bley
    0.80
    enna
    0.79
    abit
    0.79
    amoto
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    igroup
    0.79
    Activations Density 0.178%

    No Known Activations