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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. 10-RES-JB
    11. 814
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    Explanations

    proper nouns, specifically names like "Mark" at different frequencies

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions or references to the name "Mark."

    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
    ILLE
    -0.71
    urses
    -0.66
    dayName
    -0.65
     adolesc
    -0.63
    IRE
    -0.60
    ught
    -0.60
     maternity
    -0.59
    ategory
    -0.59
    abama
    -0.58
     anthem
    -0.58
    POSITIVE LOGITS
     Twain
    1.41
    eting
    1.40
    eters
    1.26
    edly
    1.25
     Zuckerberg
    1.17
    owitz
    1.10
    eter
    1.06
    ipl
    1.03
    iewicz
    1.01
    down
    1.00
    Activations Density 0.020%

    No Known Activations