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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. 1-RES-JB
    11. 7062
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    Explanations

    phrases indicating dedication or promise to a specific action or cause

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "committed"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    adish
    -0.75
     Ain
    -0.75
     complexion
    -0.71
     Takeru
    -0.71
    uyomi
    -0.70
    eon
    -0.69
     Wei
    -0.68
    oto
    -0.67
    phe
    -0.66
     Solomon
    -0.65
    POSITIVE LOGITS
     committed
    1.17
    interstitial
    0.89
     commits
    0.77
     committing
    0.73
     Commit
    0.72
    commit
    0.71
     commit
    0.71
    20439
    0.71
    lesh
    0.70
    secut
    0.69
    Activations Density 0.011%

    No Known Activations