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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. 4-RES-JB
    11. 12311
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    Explanations

    mentions of doctors and medical professionals

    oai_token-act-pair · gpt-3.5-turbo

    punctuation, specifically the period

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

    No Comments

    Negative Logits
    chwitz
    -0.76
    ¥ŀ
    -0.70
    fman
    -0.68
     tenancy
    -0.67
     dotted
    -0.67
    ahime
    -0.66
    endars
    -0.65
     cohesive
    -0.64
     cradle
    -0.64
     eleph
    -0.64
    POSITIVE LOGITS
    ItemTracker
    0.91
     Jill
    0.77
     Cornel
    0.76
     Eug
    0.70
     âĸĪ
    0.68
     Paulo
    0.68
     Andrew
    0.67
     Bruce
    0.67
     Emer
    0.67
     Jo
    0.66
    Activations Density 0.034%

    No Known Activations