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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. 17350
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    Explanations

    numeric values or characters in a specific format

    oai_token-act-pair · gpt-3.5-turbo

    inquiries or references to singular and plural nouns, particularly in questions or discussions

    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
     helicop
    -0.71
    emale
    -0.69
    Keefe
    -0.61
     Gibraltar
    -0.59
     quota
    -0.58
     surn
    -0.58
    anamo
    -0.58
     Borders
    -0.57
     Seym
    -0.57
     Azerb
    -0.57
    POSITIVE LOGITS
    STAR
    0.66
     Entered
    0.65
     SHARES
    0.64
     largeDownload
    0.61
     TEXT
    0.61
     âĢº
    0.59
     FILE
    0.58
    CRIPTION
    0.57
     SUPPORT
    0.57
     ROCK
    0.57
    Activations Density 0.181%

    No Known Activations