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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. 579
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    Explanations

    phrases containing the word "word" with various contexts and related terms

    oai_token-act-pair · gpt-3.5-turbo

    phrases involving the concept of 'word' and its usage in discussions about communication or expression

    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
    thumbnails
    -0.75
    abal
    -0.68
     generational
    -0.65
    çī
    -0.63
     Instit
    -0.61
    archives
    -0.61
    idon
    -0.60
     Perspect
    -0.60
     summar
    -0.59
    Catal
    -0.58
    POSITIVE LOGITS
    THING
    0.95
     dime
    0.94
     ounce
    0.92
     whatsoever
    0.88
     whiff
    0.81
     EVER
    0.81
    BLE
    0.78
     slightest
    0.78
    baugh
    0.77
    ODY
    0.72
    Activations Density 0.405%

    No Known Activations