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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. 12954
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    Explanations

    numerical sequences separated by dots

    oai_token-act-pair · gpt-3.5-turbo

    numerical data, particularly related to software versioning and updates

    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
     affili
    -0.72
     embell
    -0.66
     attendance
    -0.65
     likeness
    -0.65
     penned
    -0.65
     gull
    -0.65
     frequ
    -0.64
     chant
    -0.64
     ris
    -0.64
     sit
    -0.63
    POSITIVE LOGITS
    0
    1.31
    dylib
    1.24
    jar
    1.20
    gz
    1.18
    tar
    1.18
    1
    1.14
    rc
    1.12
    20439
    1.11
    yip
    1.10
    7601
    1.10
    Activations Density 0.042%

    No Known Activations