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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
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    Explanations

    references to a specific entity named "Living"

    oai_token-act-pair · gpt-3.5-turbo

    references to the term 'Living' 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
    EStream
    -0.85
    ÃĥÃĤ
    -0.76
    eded
    -0.73
    ibaba
    -0.72
    urities
    -0.71
    EStreamFrame
    -0.69
    une
    -0.67
    IFIED
    -0.66
    thodox
    -0.66
    avorite
    -0.64
    POSITIVE LOGITS
    living
    0.98
     Living
    0.95
    ston
    0.94
    Living
    0.91
    lihood
    0.89
    stone
    0.86
     Livingston
    0.85
     liv
    0.82
     Orbit
    0.82
     Wage
    0.81
    Activations Density 0.012%

    No Known Activations