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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 3461
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    Explanations

    proper nouns, specifically the name "Anne", with varying degrees of emphasis indicated by the activation values

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Anne."

    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
    ierrez
    -0.88
    yz
    -0.77
    uador
    -0.75
    committee
    -0.72
    milo
    -0.72
    ornia
    -0.72
    raltar
    -0.72
    medium
    -0.72
    ython
    -0.72
    ivas
    -0.71
    POSITIVE LOGITS
     Anne
    1.37
    Anne
    1.36
     Marie
    1.03
    Marie
    0.96
     Joan
    0.82
     Hath
    0.82
    alogy
    0.80
     Helen
    0.80
    issance
    0.78
     Margaret
    0.77
    Activations Density 0.006%

    No Known Activations