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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. 12-RES-JB
    11. 3544
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    Explanations

    words related to motorsports, specifically the "Grand Prix"

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    references to Grand Prix events in motorsports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    onies
    -0.79
    lihood
    -0.62
    ICE
    -0.60
    ubb
    -0.56
    ause
    -0.56
    oké
    -0.56
     buoy
    -0.55
    OK
    -0.55
    CLOSE
    -0.54
    ORN
    -0.53
    POSITIVE LOGITS
     Prix
    1.35
     Slam
    1.06
    master
    1.00
    stand
    0.89
    masters
    0.88
     Theft
    0.82
     Tours
    0.82
     pri
    0.80
     Final
    0.78
     slam
    0.72
    Activations Density 0.009%

    No Known Activations