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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. 8-RES-JB
    11. 12502
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    Explanations

    phrases referring to a specific or vague type or classification

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating various types or categories of things

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sbm
    -0.77
    arks
    -0.73
    aspers
    -0.66
     Companies
    -0.66
     Ashton
    -0.64
     VIDEOS
    -0.64
    izons
    -0.64
     Tackle
    -0.63
    ĸļ
    -0.63
     Sands
    -0.62
    POSITIVE LOGITS
    emic
    0.73
    place
    0.70
    lier
    0.69
     whatsoever
    0.68
    THING
    0.68
     imaginable
    0.66
    emonic
    0.65
     meaningful
    0.64
    aldehyde
    0.63
    hetical
    0.63
    Activations Density 0.037%

    No Known Activations