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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. 2356
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    Explanations

    keywords related to forms and submissions

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of forms used in submissions or applications

    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
     Leone
    -0.63
    bian
    -0.63
     Apostle
    -0.62
     VIDEOS
    -0.62
    EStreamFrame
    -0.61
     Flavoring
    -0.61
    ?????
    -0.60
    mins
    -0.60
     Franch
    -0.58
     Seasons
    -0.57
    POSITIVE LOGITS
    aldehyde
    1.28
    idable
    1.18
    atter
    1.14
    ulas
    1.03
    atted
    1.01
    ula
    0.93
    ulating
    0.86
    acion
    0.86
     submission
    0.81
    forms
    0.81
    Activations Density 0.020%

    No Known Activations