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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. 2-RES-JB
    11. 13920
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    Explanations

    mentions of high-definition (HD) technology

    oai_token-act-pair · gpt-3.5-turbo

    references to high-definition (HD) tech and specifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ãĥĦ
    -0.81
    notations
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    ãĤ±
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    glers
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    âĸĪâĸĪ
    -0.72
    ingen
    -0.67
    terday
    -0.65
    swick
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     Swift
    -0.64
     unfamiliar
    -0.63
    POSITIVE LOGITS
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    WD
    0.87
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    0.85
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    HR
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    MI
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    II
    0.82
    uty
    0.79
    ouble
    0.77
    Activations Density 0.007%

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