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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. 4-RES-JB
    11. 9090
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    Explanations

    commands or instructions prompting action

    oai_token-act-pair · gpt-3.5-turbo

    calls to action or commands related to obtaining or purchasing items

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    lling
    -0.67
    forth
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    stood
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     Crowley
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     charm
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     pri
    -0.58
    bled
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    classes
    -0.57
    bley
    -0.57
    gd
    -0.56
    POSITIVE LOGITS
    initions
    0.80
    cloneembedreportprint
    0.75
    Submit
    0.75
    ãĥķãĤ¡
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     Updated
    0.74
     Advertisement
    0.73
    agascar
    0.71
     Expand
    0.71
    mosp
    0.71
    Click
    0.70
    Activations Density 0.119%

    No Known Activations