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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. 9-RES-JB
    6. 2353
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    INDEX
    Explanations

    hyphenated phrases indicating the ranking or importance of something

    oai_token-act-pair · gpt-3.5-turbo

    ordinal rankings or positions in comparisons

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    EStream
    -0.68
    EMENT
    -0.62
     curls
    -0.61
     mirrors
    -0.60
     sockets
    -0.59
     Tune
    -0.59
     Cah
    -0.58
     cups
    -0.57
     Richards
    -0.57
     Robertson
    -0.57
    POSITIVE LOGITS
    highest
    1.38
    largest
    1.38
    ranked
    1.34
    favorite
    1.30
    generation
    1.24
    worst
    1.24
    best
    1.18
    ranking
    1.17
    degree
    1.15
    tier
    1.14
    Activations Density 0.031%

    No Known Activations