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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. 6-RES-JB
    11. 1456
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    Explanations

    descriptions related to specific age groups, particularly focusing on infants and toddlers

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating the age and gender of children

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anwhile
    -0.96
     tremend
    -0.79
    hement
    -0.77
    headers
    -0.74
    vernment
    -0.73
     prosec
    -0.73
    kefeller
    -0.72
    papers
    -0.70
    chwitz
    -0.70
    dep
    -0.68
    POSITIVE LOGITS
     boy
    0.95
     daughter
    0.93
     girl
    0.89
     grandson
    0.88
     boys
    0.87
     son
    0.86
     toddler
    0.83
     children
    0.82
     girls
    0.81
     granddaughter
    0.80
    Activations Density 0.056%

    No Known Activations