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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. 9-RES-JB
    11. 17914
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    Explanations

    phrases involving a narrative or conversational structure, potentially with some emotional intensity

    oai_token-act-pair · gpt-3.5-turbo

    instances of non-standard characters or symbols that might indicate dialogue or informal expressions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ozy
    -0.74
    DragonMagazine
    -0.71
    hattan
    -0.70
     Tid
    -0.68
     Palest
    -0.68
    çīĪ
    -0.65
     guiActiveUnfocused
    -0.65
     Yon
    -0.65
    anwhile
    -0.64
     RAD
    -0.63
    POSITIVE LOGITS
    ¢
    0.94
    ¤
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    ¡
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    ¥
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    ¢
    0.87
    ¼
    0.86
    ª
    0.85
    Ĵ
    0.84
    /
    0.83
    Ķ
    0.82
    Activations Density 0.359%

    No Known Activations