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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 22206
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    Explanations

    words related to repeated actions or occurrences

    oai_token-act-pair · gpt-3.5-turbo

    instances of repeated actions or occurrences

    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
    Not in Any Lists

    No Comments

    Negative Logits
     largeDownload
    -0.62
     Released
    -0.58
    mediate
    -0.55
    Could
    -0.54
    SG
    -0.54
     liabilities
    -0.53
    illary
    -0.52
    >[
    -0.52
    Delivery
    -0.52
    ================================================================
    -0.51
    POSITIVE LOGITS
     twice
    1.77
     frequently
    1.65
     regularly
    1.49
     often
    1.43
     occasionally
    1.38
     once
    1.37
     repeatedly
    1.37
     periodically
    1.33
     Twice
    1.32
     countless
    1.31
    Activations Density 1.115%

    No Known Activations