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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. 7509
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    Explanations

    words with prefixes such as 're-' and 're-' words themselves

    oai_token-act-pair · gpt-3.5-turbo

    prefixes or variations of the prefix "re-"

    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
     noble
    -0.71
     Relief
    -0.70
     Tant
    -0.70
     Slater
    -0.70
     vast
    -0.68
     CPR
    -0.68
     percentile
    -0.66
     famine
    -0.65
     dense
    -0.65
     Slim
    -0.65
    POSITIVE LOGITS
    introdu
    1.59
    elected
    1.39
    establish
    1.39
    education
    1.37
    examination
    1.37
    ordering
    1.37
    election
    1.33
    issue
    1.33
    release
    1.32
    acqu
    1.32
    Activations Density 0.025%

    No Known Activations