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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. 22885
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    Explanations

    words related to negative or unfavorable aspects

    oai_token-act-pair · gpt-3.5-turbo

    negative evaluations or criticism, particularly related to the word "bad."

    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
    agos
    -0.81
    illation
    -0.81
    hip
    -0.77
    arov
    -0.76
    Revolution
    -0.76
    hung
    -0.76
    pai
    -0.74
    arij
    -0.74
    eters
    -0.73
    gow
    -0.73
    POSITIVE LOGITS
     karma
    0.90
    dest
    0.90
     bad
    0.89
     BAD
    0.79
     adolesc
    0.77
     Samar
    0.76
    Bad
    0.76
     bye
    0.76
     luck
    0.75
     vib
    0.75
    Activations Density 0.016%

    No Known Activations