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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. 4881
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    Explanations

    misspelled versions of the word "hard"

    oai_token-act-pair · gpt-3.5-turbo

    words related to 'hard' or 'arduous' concepts

    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
    PER
    -0.83
    pheus
    -0.70
     STAT
    -0.61
    ĸļ
    -0.58
    raltar
    -0.57
     vice
    -0.56
    MER
    -0.56
     shut
    -0.56
    phis
    -0.55
     ordinances
    -0.54
    POSITIVE LOGITS
    ragon
    1.18
    robe
    1.10
    inia
    1.03
    stown
    1.00
    ice
    0.99
    inelli
    0.99
    rums
    0.96
    ella
    0.93
    leneck
    0.92
    uct
    0.89
    Activations Density 0.062%

    No Known Activations