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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. 9-RES-JB
    11. 17600
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    Explanations

    statements with the verb "said" and the name of a person following

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "said" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    à¼
    -0.93
    eneg
    -0.77
    Login
    -0.75
    otin
    -0.74
    Browser
    -0.71
    à¦
    -0.71
    vention
    -0.70
    atown
    -0.70
    {"
    -0.70
    anuts
    -0.69
    POSITIVE LOGITS
     spokeswoman
    1.12
     spokesman
    1.09
     Diane
    1.07
     Kathleen
    1.03
     Melissa
    1.03
     Kathy
    1.02
     Donna
    1.01
     Angela
    1.00
     Joyce
    0.99
     Laura
    0.98
    Activations Density 0.067%

    No Known Activations