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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. 6524
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    Explanations

    terms related to Grand Prix racing

    oai_token-act-pair · gpt-3.5-turbo

    references to Grand Prix events in a sporting context

    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
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    Negative Logits
    ebted
    -0.80
    framework
    -0.70
    say
    -0.66
    amus
    -0.64
    eous
    -0.62
    campaign
    -0.62
    Accessory
    -0.62
     Jolly
    -0.61
    ¿½
    -0.60
    published
    -0.60
    POSITIVE LOGITS
     GP
    0.90
    GP
    0.87
    ixel
    0.81
    ross
    0.80
     Prix
    0.79
    reetings
    0.74
    oline
    0.70
    odcast
    0.69
    rint
    0.69
     DX
    0.67
    Activations Density 0.004%

    No Known Activations