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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. 19904
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    Explanations

    words related to computer technology and programming languages

    oai_token-act-pair · gpt-3.5-turbo

    the word "up" in various contexts and forms

    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
     Caldwell
    -0.66
     Rosenthal
    -0.66
     sting
    -0.62
     Baghd
    -0.61
    ¯¯¯¯¯¯¯¯
    -0.60
     Curiosity
    -0.59
     Canary
    -0.59
     Schwe
    -0.58
     KH
    -0.57
     Geneva
    -0.55
    POSITIVE LOGITS
    dates
    1.60
    dating
    1.34
    stairs
    1.32
    grades
    1.29
    olicy
    1.21
    graded
    1.21
    grade
    1.19
    grading
    1.15
    np
    1.08
    grad
    1.04
    Activations Density 0.054%

    No Known Activations