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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 7572
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    Explanations

    information about individuals or groups leading an effort or project

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "led" in contexts indicating leadership or direction

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Scotia
    -0.76
     sunset
    -0.76
     Ratio
    -0.61
     Addiction
    -0.60
     Smoking
    -0.59
     Buildings
    -0.59
     breeze
    -0.58
    Done
    -0.57
    iddler
    -0.57
    cube
    -0.57
    POSITIVE LOGITS
    gers
    1.19
    gling
    1.03
    ges
    0.95
    better
    0.94
    ging
    0.93
    ger
    0.88
    ged
    0.84
    leaders
    0.80
    led
    0.79
    ership
    0.79
    Activations Density 0.031%

    No Known Activations