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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. 10935
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    Explanations

    descriptions related to different kinds of sports or sport-related activities

    oai_token-act-pair · gpt-3.5-turbo

    mentions of sports or related terms

    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
     sidx
    -0.69
    ignt
    -0.67
     Khe
    -0.66
     pts
    -0.62
     Passage
    -0.61
     chords
    -0.59
     cords
    -0.58
     Gates
    -0.58
     toes
    -0.57
     Tsarnaev
    -0.57
    POSITIVE LOGITS
    sw
    1.38
    scar
    1.23
    nell
    1.13
    sc
    1.01
    nel
    0.92
    manship
    0.91
    bike
    0.89
    ive
    0.89
    club
    0.86
    nels
    0.85
    Activations Density 0.023%

    No Known Activations