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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. 7-RES-JB
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    Explanations

    references to infants

    oai_token-act-pair · gpt-3.5-turbo

    references to infants or infant-related topics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Beer
    -0.75
    wagen
    -0.73
    nda
    -0.73
    soType
    -0.73
    aday
    -0.72
    redits
    -0.68
    lde
    -0.68
    invoke
    -0.67
    ffiti
    -0.66
    papers
    -0.65
    POSITIVE LOGITS
     infant
    0.89
    atal
    0.88
     infants
    0.87
    hetically
    0.79
    emic
    0.76
     Kimmel
    0.74
    ishly
    0.73
    hetical
    0.72
     todd
    0.71
     toddlers
    0.69
    Activations Density 0.034%

    No Known Activations