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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 1-RES-JB
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    Explanations

    the word "meant" in sentences indicating intentions or purposes

    oai_token-act-pair · gpt-3.5-turbo

    the word "meant" and its variations, highlighting intentions or purposes

    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
    issues
    -0.70
    士
    -0.65
    thumbnails
    -0.63
    oos
    -0.63
    cent
    -0.63
    cart
    -0.63
     center
    -0.61
    cit
    -0.61
    vas
    -0.61
    omal
    -0.61
    POSITIVE LOGITS
     meant
    0.97
    terday
    0.89
    xual
    0.88
     misunder
    0.88
    romeda
    0.87
    ĸļ
    0.86
    awaru
    0.73
    stress
    0.72
    ratulations
    0.72
    ividual
    0.70
    Activations Density 0.013%

    No Known Activations