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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. 2-RES-JB
    11. 721
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    Explanations

    the imperative verb "Watch"

    oai_token-act-pair · gpt-4-turbo

    videos to watch

    oai_token-act-pair · gpt-3.5-turbo

    references to the word "Watch."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ctrl
    -0.80
    interstitial
    -0.77
    phi
    -0.74
    ãĤ¨ãĥ«
    -0.74
    pex
    -0.71
    acqu
    -0.68
     retard
    -0.67
    xual
    -0.67
     microw
    -0.66
    adies
    -0.66
    POSITIVE LOGITS
     Watching
    1.27
     Watch
    1.12
    Watch
    1.07
    tower
    1.05
    dog
    0.94
    watch
    0.88
     Dogs
    0.87
     wat
    0.83
     WATCH
    0.83
    dogs
    0.82
    Activations Density 0.019%

    No Known Activations