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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. 19913
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    Explanations

    names of characters in movies or TV series

    oai_token-act-pair · gpt-3.5-turbo

    instances of opening parentheses in 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
     retard
    -0.87
     nutrient
    -0.75
     parity
    -0.73
     nuts
    -0.72
     lull
    -0.72
     depress
    -0.71
    irds
    -0.70
     electr
    -0.69
     hazards
    -0.69
    olicy
    -0.68
    POSITIVE LOGITS
    sic
    1.51
    formerly
    1.43
    pictured
    1.36
    aka
    1.29
    ?)
    1.28
    via
    1.26
    ?),
    1.20
    who
    1.19
    !)
    1.17
    which
    1.17
    Activations Density 0.183%

    No Known Activations