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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. 11-RES-JB
    11. 21876
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    Explanations

    words related to critical analysis and evaluation

    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 @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     pigeon
    -0.78
     flourishing
    -0.69
     dangling
    -0.69
     electrodes
    -0.69
     spir
    -0.67
     overth
    -0.67
     mounting
    -0.67
     drawn
    -0.66
     strands
    -0.66
     synerg
    -0.66
    POSITIVE LOGITS
    ï¸ı
    1.22
    âĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢ
    1.14
    âĶĢâĶĢ
    1.06
    âĸ¬âĸ¬
    1.04
    âĶĢâĶĢâĶĢâĶĢ
    0.97
    à¼
    0.96
    âķIJâķIJ
    0.94
    âĢ
    0.93
    76561
    0.92
    ternity
    0.88
    Activations Density 0.124%

    No Known Activations