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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. 7380
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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
     establishments
    -0.71
     NPCs
    -0.67
     flakes
    -0.62
    azines
    -0.61
    Featured
    -0.61
     annotations
    -0.61
     balloons
    -0.61
     staples
    -0.60
     fishes
    -0.60
     Tina
    -0.59
    POSITIVE LOGITS
    inition
    0.91
    ãĤ¬
    0.78
    essment
    0.77
     of
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    gradient
    0.76
    ategory
    0.74
    ittal
    0.71
    iom
    0.71
    iator
    0.70
     thereof
    0.69
    Activations Density 0.178%

    No Known Activations