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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. 14381
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    INDEX
    Explanations

    words related to actions or events that have a significant impact

    oai_token-act-pair · gpt-3.5-turbo

    references to social issues or societal concerns

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
     Annotations
    -0.73
    wow
    -0.70
    meet
    -0.66
    vernment
    -0.66
    ãĥ¯ãĥ³
    -0.65
    parency
    -0.58
    timer
    -0.58
    oster
    -0.58
     Rasmussen
    -0.57
     FANT
    -0.56
    POSITIVE LOGITS
     likewise
    1.01
     theirs
    0.87
     hers
    0.84
     //[
    0.71
     similarly
    0.64
     Same
    0.63
     nonexistent
    0.62
    inery
    0.56
    icter
    0.56
     ca
    0.56
    Activations Density 0.600%

    No Known Activations