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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. 10-RES-JB
    11. 24471
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    Explanations

    the word "pole" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to poles, specifically in geographical or scientific contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iencies
    -0.88
    ONSORED
    -0.81
    ITED
    -0.78
    ible
    -0.77
    Export
    -0.77
    enegger
    -0.75
    esis
    -0.74
    urers
    -0.74
    iott
    -0.72
    displayText
    -0.71
    POSITIVE LOGITS
     pole
    1.17
     poles
    1.05
    mic
    1.00
    pole
    0.99
     Pole
    0.95
    ball
    0.75
    axe
    0.75
     Poles
    0.75
    arm
    0.74
     Position
    0.74
    Activations Density 0.036%

    No Known Activations