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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. 11-RES-JB
    6. 7988
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    INDEX
    Explanations

    height and weight measurements

    oai_token-act-pair · gpt-3.5-turbo

    numerical values related to height and weight measurements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     extingu
    -0.77
     closure
    -0.75
     Helpful
    -0.70
     patronage
    -0.69
     COMMUN
    -0.68
     Cooperative
    -0.68
     SOS
    -0.68
     unconditional
    -0.67
     privatization
    -0.67
     mediation
    -0.66
    POSITIVE LOGITS
     taller
    1.50
     stature
    1.42
     physique
    1.42
     athlet
    1.39
     overweight
    1.35
     muscular
    1.32
     tallest
    1.31
     waist
    1.31
     skinny
    1.29
     skelet
    1.29
    Activations Density 0.349%

    No Known Activations