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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. 21184
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    Explanations

    instances where assistance or support is provided by another person

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals or groups of people

    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
    Closure
    -0.75
    ãĥ¼ãĤ¯
    -0.71
    ļéĨĴ
    -0.67
     evolution
    -0.66
    æĸ
    -0.66
    gradient
    -0.63
    Progress
    -0.62
    Ĥİ
    -0.61
    ãĥ´ãĤ¡
    -0.60
    Reward
    -0.60
    POSITIVE LOGITS
     willing
    1.02
     guiding
    1.00
     superv
    0.96
     overseeing
    0.96
     helping
    0.86
     guarding
    0.86
     onboard
    0.84
     cheering
    0.83
     assisting
    0.83
     roaming
    0.82
    Activations Density 0.371%

    No Known Activations