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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 17608
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    INDEX
    Explanations

    adverbs that modify actions with a positive connotation

    oai_token-act-pair · gpt-3.5-turbo

    adverbs that describe manner or intensity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enf
    -0.68
    eries
    -0.62
    ilater
    -0.61
    hao
    -0.61
     totally
    -0.61
    rite
    -0.61
     privilege
    -0.60
     outright
    -0.60
     willfully
    -0.58
     ado
    -0.57
    POSITIVE LOGITS
     enough
    0.90
     throughout
    0.86
     thereafter
    0.84
    enough
    0.84
    tics
    0.77
    utics
    0.74
     into
    0.74
     during
    0.74
     ILCS
    0.73
     afterwards
    0.73
    Activations Density 0.159%

    No Known Activations