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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. 11-RES-JB
    11. 21392
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    Explanations

    references to the term "Har" followed by another word or part of a word, potentially excerpts or mentions of specific entities or concepts

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific entity or character named "Har"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Tone
    -0.70
     Giuliani
    -0.66
    eers
    -0.66
     Brotherhood
    -0.64
     semantics
    -0.63
     spread
    -0.61
     fixation
    -0.60
     timetable
    -0.60
    BOOK
    -0.59
     choice
    -0.59
    POSITIVE LOGITS
    assment
    1.37
    poon
    1.27
    bors
    1.17
    poons
    1.16
    vard
    1.15
    riet
    1.07
    riers
    1.07
    lan
    1.04
    bour
    1.04
    ald
    1.03
    Activations Density 0.028%

    No Known Activations