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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. 10728
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    Explanations

    phrases related to familiarity with a topic or subject

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating familiarity with various subjects or topics

    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
     teasp
    -0.65
    earchers
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     enthusi
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    ratulations
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    \/\/
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     surprised
    -0.57
     Sabha
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    OGR
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    nette
    -0.56
    orah
    -0.55
    POSITIVE LOGITS
    ¥µ
    0.92
     firsthand
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    stood
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     whats
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    ä¹
    0.70
     how
    0.68
     Pastebin
    0.67
     regards
    0.67
     Runes
    0.66
     whom
    0.66
    Activations Density 0.056%

    No Known Activations