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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 1044
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    oai_token-act-pair · gpt-3.5-turbo

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    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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    Negative Logits
     TRUMP
    -0.59
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    ت
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     cz
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     Led
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    çļ
    -0.56
     Cooke
    -0.55
     Blanc
    -0.55
    ascus
    -0.55
     Tycoon
    -0.54
    POSITIVE LOGITS
    ĨĴ
    0.92
    uthor
    0.81
    uni
    0.79
    ģ«
    0.74
    ´
    0.72
    ascript
    0.72
    OAD
    0.72
    ¶æ
    0.71
    ¦
    0.70
    uary
    0.69
    Activations Density 0.077%

    No Known Activations