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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. 3-RES-JB
    11. 11277
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    Explanations

    phrases indicating a necessity for something to be done or provided

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate necessity or requirements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ight
    -0.74
     Rapp
    -0.68
     Bom
    -0.66
    vironment
    -0.65
     Vide
    -0.65
     Babe
    -0.64
     Budd
    -0.64
     Tide
    -0.64
    creen
    -0.62
     Airways
    -0.62
    POSITIVE LOGITS
    lessly
    0.86
    MENTS
    0.84
    require
    0.81
     confir
    0.78
    encies
    0.77
    cale
    0.74
     compromising
    0.72
    enei
    0.71
     requiring
    0.71
    LY
    0.69
    Activations Density 0.031%

    No Known Activations