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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. 3-RES-JB
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    Explanations

    mentions of babies and related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to babies and infants

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SPONSORED
    -0.76
     Cheong
    -0.69
    Population
    -0.69
    rawdownloadcloneembedreportprint
    -0.67
    TABLE
    -0.66
    Sharp
    -0.65
    RFC
    -0.64
    Prosecut
    -0.61
    Comm
    -0.61
    Asset
    -0.61
    POSITIVE LOGITS
    chool
    1.02
    pots
    0.96
    lings
    0.91
     babies
    0.90
     born
    0.84
    poons
    0.81
     infants
    0.80
    thood
    0.80
     diapers
    0.80
    mares
    0.79
    Activations Density 0.016%

    No Known Activations