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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. 6-RES-JB
    11. 17538
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    Explanations

    phrases within parentheses that provide additional information or clarification

    oai_token-act-pair · gpt-3.5-turbo

    closing or parenthetical statements in sentences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     oun
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    enta
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    ahu
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    uko
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    racuse
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    ãĥĩ
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    ĸļ
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     (%
    -0.60
     (âĪĴ
    -0.59
    POSITIVE LOGITS
    forth
    0.64
    WHERE
    0.61
    TPS
    0.59
    ACTED
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    interest
    0.58
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    suff
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    ATURE
    0.56
    Override
    0.56
    appropriate
    0.56
    Activations Density 0.098%

    No Known Activations