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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. 3-RES-JB
    11. 4927
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    Explanations

    distances measured in kilometers or miles

    oai_token-act-pair · gpt-3.5-turbo

    geographical distances and locations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    acea
    -0.71
     Cosponsors
    -0.69
     Blueprint
    -0.68
    bid
    -0.67
     Skies
    -0.66
     Millennials
    -0.64
     HB
    -0.62
     Zeit
    -0.62
     Spons
    -0.61
     sponsor
    -0.61
    POSITIVE LOGITS
     diameter
    0.92
     radius
    0.87
    elsius
    0.84
     kilometres
    0.83
     sidx
    0.81
     circumference
    0.78
     elapsed
    0.76
     kilometers
    0.76
     increments
    0.75
     commute
    0.73
    Activations Density 0.467%

    No Known Activations