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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. 4330
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    Explanations

    references to fast speeds in miles per hour and kilometers per hour

    oai_token-act-pair · gpt-3.5-turbo

    speed-related measurements and their context

    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
     indemn
    -0.78
    oyal
    -0.75
     tenant
    -0.72
    adow
    -0.72
    present
    -0.71
     Gifts
    -0.70
     Cosponsors
    -0.68
    inct
    -0.68
    aceae
    -0.67
     inclusion
    -0.66
    POSITIVE LOGITS
     speeds
    1.77
     mph
    1.63
     speed
    1.59
    Speed
    1.49
    mph
    1.44
     acceleration
    1.42
     speeding
    1.40
    speed
    1.40
     MPH
    1.37
     braking
    1.35
    Activations Density 0.233%

    No Known Activations