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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. 7-RES-JB
    11. 2713
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    Explanations

    locations specified by their distance in miles or kilometers from a reference point

    oai_token-act-pair · gpt-3.5-turbo

    distances measured in miles or kilometers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eer
    -0.81
    icious
    -0.71
    icators
    -0.67
    icer
    -0.66
    gotten
    -0.65
     Mothers
    -0.63
     Fol
    -0.62
    olith
    -0.61
    izations
    -0.61
    effects
    -0.61
    POSITIVE LOGITS
     radius
    0.90
     northwest
    0.84
     southwest
    0.83
    outheast
    0.83
     northeast
    0.79
     latitude
    0.78
     southeast
    0.78
     inland
    0.78
     apiece
    0.78
    使
    0.73
    Activations Density 0.042%

    No Known Activations