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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. 10-RES-JB
    6. 11973
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    INDEX
    Explanations

    phrases indicating a person or entity being at a specific location

    oai_token-act-pair · gpt-3.5-turbo

    references to locations or places

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     fundament
    -0.71
    rane
    -0.67
    thora
    -0.62
    Ī
    -0.62
    ACY
    -0.59
    livion
    -0.57
    rene
    -0.56
     //[
    -0.56
    tle
    -0.55
    ndra
    -0.54
    POSITIVE LOGITS
     testifying
    1.09
     photograp
    1.09
     discussing
    1.09
     watching
    1.09
     filming
    1.08
     interviewing
    1.06
     awaiting
    1.06
     assisting
    1.06
     preparing
    1.05
     waiting
    1.05
    Activations Density 0.358%

    No Known Activations