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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 13687
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    Explanations

    phrases related to taking actions or making decisions

    oai_token-act-pair · gpt-3.5-turbo

    references to decisions or measures taken

    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
    conservancy
    -0.67
    enstein
    -0.64
    gling
    -0.63
    NetMessage
    -0.63
    ãĥ¼ãĥĨãĤ£
    -0.62
    KER
    -0.61
     Puzzles
    -0.61
    Race
    -0.61
     Argon
    -0.59
    asus
    -0.59
    POSITIVE LOGITS
    able
    0.94
     against
    0.93
    ivism
    0.91
    ivated
    0.84
    ives
    0.84
    uations
    0.81
    iveness
    0.81
    ional
    0.80
    aires
    0.79
    uating
    0.79
    Activations Density 0.045%

    No Known Activations