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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. 21919
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    Explanations

    words related to negative qualities or criticisms such as "lame," "inept," and "hastily."

    oai_token-act-pair · gpt-3.5-turbo

    negative descriptors or criticisms related to quality or performance

    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
    abad
    -0.79
    istor
    -0.76
    elvet
    -0.71
    aire
    -0.69
    within
    -0.69
    SEA
    -0.68
    rity
    -0.68
    ainer
    -0.67
    uchs
    -0.66
    itizen
    -0.65
    POSITIVE LOGITS
     lame
    1.31
     excuse
    0.93
    glers
    0.87
     duck
    0.87
     excuses
    0.80
    lihood
    0.78
    WARE
    0.72
     DOT
    0.71
     tid
    0.70
     jerk
    0.70
    Activations Density 0.009%

    No Known Activations