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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. 10-RES-JB
    6. 14280
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    Explanations

    words related to environmental changes and adaptations

    oai_token-act-pair · gpt-3.5-turbo

    references to environmental changes and their impacts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    stros
    -0.82
    unic
    -0.73
    odore
    -0.71
    retty
    -0.69
    named
    -0.68
     NCT
    -0.68
     honorable
    -0.67
    luaj
    -0.67
    FIR
    -0.67
     proudly
    -0.66
    POSITIVE LOGITS
     environment
    1.46
     weather
    1.43
     temperature
    1.39
     humidity
    1.33
     surroundings
    1.30
     climate
    1.28
     ambient
    1.24
     atmospheric
    1.24
     variables
    1.23
     climates
    1.22
    Activations Density 0.460%

    No Known Activations