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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. 8-RES-JB
    6. 5373
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    Explanations

    phrases indicating positive evaluation of someone's performance

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating the quality of performance in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Tang
    -0.82
    NetMessage
    -0.77
    fty
    -0.65
    eteria
    -0.62
    eros
    -0.62
     Phi
    -0.62
    isks
    -0.62
    ities
    -0.61
    ater
    -0.60
    raltar
    -0.60
    POSITIVE LOGITS
    manship
    0.94
     portraying
    0.90
     ethic
    0.83
     protecting
    0.82
     illustrating
    0.81
     educating
    0.81
     showcasing
    0.80
     combating
    0.80
     handling
    0.78
     translating
    0.78
    Activations Density 0.043%

    No Known Activations