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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. 1-RES-JB
    11. 544
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    Explanations

    names of individuals in a specific context

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals and animal subjects, particularly focusing on bison calves and notable figures like Moor and Buchanan

    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
    agara
    -0.82
    ratulations
    -0.81
    hip
    -0.75
    emouth
    -0.74
    pired
    -0.73
    externalActionCode
    -0.73
     yogurt
    -0.72
    eering
    -0.71
    pecting
    -0.71
    eers
    -0.70
    POSITIVE LOGITS
     Buchanan
    0.87
    uder
    0.86
    inches
    0.74
     Deer
    0.71
     Stain
    0.70
    Cub
    0.69
    cair
    0.69
    tex
    0.69
     Clancy
    0.69
     Toro
    0.66
    Activations Density 0.014%

    No Known Activations