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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. 7-RES-JB
    11. 17299
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    Explanations

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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 @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    formation
    -0.66
    ãĤ´ãĥ³
    -0.64
    TPPStreamerBot
    -0.63
    uve
    -0.63
     adversaries
    -0.62
    harm
    -0.61
    bourg
    -0.61
    avement
    -0.59
     trou
    -0.58
    ozo
    -0.57
    POSITIVE LOGITS
     CTR
    0.79
     Quantity
    0.71
    é¾įå
    0.70
     Ù
    0.67
     Ùħ
    0.67
     âĨij
    0.66
     ç¥ŀ
    0.66
     Logged
    0.64
     ×
    0.63
     Ø
    0.63
    Activations Density 0.089%

    No Known Activations