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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. 13753
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    Explanations

    dialogue with punctuation marks

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks, particularly periods

    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
    Not in Any Lists

    No Comments

    Negative Logits
    utterstock
    -0.79
     helicop
    -0.79
    Ĥª
    -0.75
     disadvant
    -0.74
    aukee
    -0.73
    conservancy
    -0.72
     contrace
    -0.70
    artifacts
    -0.69
     psychiat
    -0.67
     incorpor
    -0.66
    POSITIVE LOGITS
     whispered
    1.01
     murm
    1.00
     muttered
    0.94
     Suddenly
    0.89
     Jaune
    0.86
     Pyrrha
    0.85
     Hearing
    0.84
     sighed
    0.83
     replied
    0.82
     nodded
    0.82
    Activations Density 0.127%

    No Known Activations