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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. 21460
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    Explanations

    hyphenated words with the term "hard-" at the beginning

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a strong work ethic or dedication

    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
    ulhu
    -0.76
     Cah
    -0.75
     Wald
    -0.64
    emonium
    -0.64
     Wonderland
    -0.64
    auga
    -0.64
     Burk
    -0.64
     Kenny
    -0.63
     Dek
    -0.63
     Rica
    -0.62
    POSITIVE LOGITS
    hitting
    1.30
    coded
    1.13
    earned
    1.12
    bodied
    1.12
    pressed
    1.12
    hearted
    1.07
    won
    1.06
    edged
    1.05
    sounding
    0.99
    stem
    0.97
    Activations Density 0.034%

    No Known Activations