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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. 5-RES-JB
    6. 3921
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    Explanations

    keywords related to the contextual information of the text

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "context."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    STON
    -0.75
    riage
    -0.73
    aah
    -0.71
    dinand
    -0.71
    deen
    -0.70
    vals
    -0.70
    itting
    -0.67
    itte
    -0.66
    thing
    -0.66
    DAQ
    -0.65
    POSITIVE LOGITS
     context
    1.03
     contexts
    0.89
     Context
    0.87
    uality
    0.82
    ually
    0.81
    ual
    0.79
     sensitivity
    0.72
     contextual
    0.72
    raints
    0.71
    Impl
    0.66
    Activations Density 0.015%

    No Known Activations