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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. 7-RES-JB
    11. 22663
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    Explanations

    languages and their names

    oai_token-act-pair · gpt-3.5-turbo

    references to various languages and their usage

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    oppable
    -0.87
     sqor
    -0.85
    ounty
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     reven
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    estinal
    -0.76
    icipated
    -0.75
    heimer
    -0.71
     Expend
    -0.71
    paid
    -0.70
    kefeller
    -0.70
    POSITIVE LOGITS
     diction
    1.09
     subtitles
    1.06
    UTF
    1.05
     Arabic
    1.04
     languages
    1.03
    language
    1.01
     Esper
    0.98
     grammar
    0.98
     Franç
    0.97
    utf
    0.95
    Activations Density 0.697%

    No Known Activations