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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. 2065
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    Explanations

    mentions of the word 'who'

    oai_token-act-pair · gpt-3.5-turbo

    references to the word "who"

    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
     VIDEOS
    -0.74
    BACK
    -0.73
    PORT
    -0.67
    MER
    -0.66
     Patriot
    -0.65
     Nord
    -0.64
     Fry
    -0.63
     Viking
    -0.63
     Rend
    -0.62
     drying
    -0.61
    POSITIVE LOGITS
    oping
    1.34
    ever
    1.25
    soever
    1.21
    oped
    1.20
    ppers
    1.07
    abouts
    1.00
    zbollah
    1.00
    pper
    0.99
    umbnails
    0.95
    ops
    0.94
    Activations Density 0.112%

    No Known Activations