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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. 11-RES-JB
    11. 2481
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    Explanations

    distances in kilometers and miles

    oai_token-act-pair · gpt-3.5-turbo

    distance measurements in kilometers and miles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    icio
    -0.69
    isner
    -0.62
    advertisement
    -0.62
    alam
    -0.61
     facult
    -0.60
    ency
    -0.60
    izoph
    -0.59
    imov
    -0.58
    zynski
    -0.57
     Inferno
    -0.57
    POSITIVE LOGITS
     southwest
    1.34
     southeast
    1.34
     northeast
    1.32
     northwest
    1.32
     south
    1.30
     west
    1.28
     north
    1.27
     away
    1.26
     east
    1.25
     inland
    1.13
    Activations Density 0.062%

    No Known Activations