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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. 7292
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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
    BuyableInstoreAndOnline
    -0.79
     Crom
    -0.77
    thood
    -0.74
    urden
    -0.73
    $$
    -0.70
    oba
    -0.69
    ovan
    -0.69
    ebted
    -0.69
    mable
    -0.66
    ahime
    -0.65
    POSITIVE LOGITS
    Ŀ
    1.07
    ³
    1.05
    ±
    1.05
    ¦
    1.04
    ¡
    0.98
    ¹
    0.97
    ¶
    0.95
    ª
    0.94
    ł
    0.92
    ·
    0.90
    Activations Density 0.063%

    No Known Activations