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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. 1-RES-JB
    11. 13258
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    Explanations

    words related to mistakes or errors

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "err" and its variations, indicating hesitation or error in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eph
    -0.67
    operated
    -0.65
    otine
    -0.64
     Dome
    -0.64
    xual
    -0.64
    HK
    -0.60
    Words
    -0.60
    morph
    -0.60
    ffield
    -0.60
    thood
    -0.60
    POSITIVE LOGITS
     err
    1.40
     Err
    0.85
     guiActiveUn
    0.77
    catentry
    0.71
    irements
    0.71
    kson
    0.71
    rors
    0.70
    rr
    0.70
    atively
    0.66
    gers
    0.66
    Activations Density 0.006%

    No Known Activations