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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. 5-RES-JB
    6. 6335
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    Explanations

    proper nouns mentioned in the text

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the name "Walsh" in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arial
    -0.89
     explanatory
    -0.79
    egal
    -0.78
    uate
    -0.78
    arily
    -0.74
     fortun
    -0.72
     illum
    -0.71
     coerc
    -0.69
    ĪĴ
    -0.69
    alien
    -0.68
    POSITIVE LOGITS
     Walsh
    0.96
    enegger
    0.93
    restling
    0.81
    bands
    0.81
     Baldwin
    0.78
    mann
    0.76
    ashington
    0.76
    enance
    0.74
    gaard
    0.74
     Norton
    0.74
    Activations Density 0.021%

    No Known Activations