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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. 987
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    Explanations

    references to interactions with strangers, potentially focusing on negative or concerning encounters

    oai_token-act-pair · gpt-3.5-turbo

    instances and discussions about strangers and their interactions

    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
    orie
    -0.67
    apple
    -0.66
    QUI
    -0.66
     Nanto
    -0.66
    Title
    -0.65
    phas
    -0.63
     Condition
    -0.62
    Knight
    -0.62
    cpu
    -0.62
    rick
    -0.62
    POSITIVE LOGITS
     strangers
    1.13
    ateurs
    0.93
    folk
    0.85
    paces
    0.84
     blinded
    0.83
     parted
    0.77
     idiots
    0.76
    abouts
    0.76
     acquainted
    0.74
    pread
    0.74
    Activations Density 0.013%

    No Known Activations