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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. 7746
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    INDEX
    Explanations

    positive attributes or impactful events

    oai_token-act-pair · gpt-3.5-turbo

    expressions of good news and positive developments

    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
    ĸļ
    -1.16
    ICLE
    -0.87
    hyde
    -0.85
    emale
    -0.85
    bsite
    -0.81
    dq
    -0.77
    chel
    -0.75
    externalActionCode
    -0.74
    athlon
    -0.73
    arcity
    -0.72
    POSITIVE LOGITS
     surprises
    1.21
     goodies
    1.15
     tricks
    1.15
     stuff
    1.06
     caveats
    1.03
     shenanigans
    1.03
     gems
    1.00
     things
    0.98
     pointers
    0.97
     twists
    0.97
    Activations Density 0.202%

    No Known Activations