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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. 10-RES-JB
    11. 10106
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating high importance or critical statements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Yar
    -1.21
    YA
    -1.00
     Bubble
    -0.98
    ¥µ
    -0.97
    ya
    -0.97
    xb
    -0.92
    yx
    -0.89
    Yan
    -0.89
    yan
    -0.88
     Wak
    -0.85
    POSITIVE LOGITS
    ipp
    0.98
    ass
    0.94
    oss
    0.93
    131
    0.92
    select
    0.90
    iss
    0.86
    IPP
    0.85
    lect
    0.84
    ress
    0.83
    asses
    0.81
    Activations Density 0.383%

    No Known Activations