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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. 0-RES-JB
    6. 24054
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    Explanations

    a specific name or token 'Ste' in the text

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of a specific name or character, particularly "Ste" and "Stella"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     taxpayer
    -0.79
     majors
    -0.75
     nursery
    -0.70
     indent
    -0.70
     unemployed
    -0.69
     diapers
    -0.69
     monkeys
    -0.69
     primates
    -0.69
     iv
    -0.68
     taxpayers
    -0.68
    POSITIVE LOGITS
    Ste
    3.80
     Ste
    2.00
    ste
    1.79
    STE
    1.71
     STE
    1.59
     Steele
    1.59
     Stein
    1.54
     Stella
    1.36
     ste
    1.35
     Stef
    1.35
    Activations Density 0.015%

    No Known Activations