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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. 2478
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    Explanations

    references to cities

    oai_token-act-pair · gpt-3.5-turbo

    references to cities

    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
    iasis
    -0.81
    tle
    -0.79
    igham
    -0.72
    arios
    -0.72
    raviolet
    -0.72
    raq
    -0.70
    ãĥīãĥ©
    -0.69
    QUI
    -0.68
    morph
    -0.68
    ibaba
    -0.67
    POSITIVE LOGITS
     mayors
    0.90
    scape
    0.89
     cities
    0.89
     dwell
    0.84
    wide
    0.83
    chool
    0.82
     skyline
    0.79
     metropolitan
    0.79
     museums
    0.78
     dwelling
    0.78
    Activations Density 0.019%

    No Known Activations