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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 1-RES-JB
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    Explanations

    the name "Betsy"

    oai_token-act-pair · gpt-3.5-turbo

    the name "Betsy" in various contexts

    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
    nesota
    -0.85
    Ú
    -0.81
    Reply
    -0.74
    Phones
    -0.73
    Site
    -0.71
    ãħĭãħĭ
    -0.70
    Cell
    -0.69
    Upload
    -0.69
    SPA
    -0.67
     Sharks
    -0.65
    POSITIVE LOGITS
     Betsy
    1.12
    ordable
    0.85
    psey
    0.84
    ixie
    0.84
    riet
    0.80
     DeVos
    0.79
     ribbon
    0.77
    bles
    0.75
     Harriet
    0.72
    raught
    0.72
    Activations Density 0.013%

    No Known Activations