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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. 1446
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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 @ 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
    chel
    -0.67
    fulness
    -0.65
    Cra
    -0.62
     quotas
    -0.61
     somehow
    -0.61
     assume
    -0.60
    uddy
    -0.60
    fields
    -0.58
     alone
    -0.57
     apart
    -0.57
    POSITIVE LOGITS
     foregoing
    0.87
     utmost
    0.87
     Americas
    0.81
     Ancients
    0.80
     Month
    0.79
     sexes
    0.78
     finest
    0.73
     invention
    0.72
     Angels
    0.67
     infamous
    0.67
    Activations Density 0.045%

    No Known Activations