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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. 2-RES-JB
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    Explanations

    names of geographical locations, particularly focusing on "Grande."

    oai_token-act-pair · gpt-3.5-turbo

    names of prominent individuals or locations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    orb
    -0.80
    cling
    -0.73
    othy
    -0.70
    advertisement
    -0.70
    cens
    -0.70
    ashed
    -0.68
    avid
    -0.68
    sych
    -0.67
    ————————————————
    -0.67
    hire
    -0.65
    POSITIVE LOGITS
     Grande
    1.24
     mosqu
    0.81
     Prairie
    0.76
    ignt
    0.74
     Valley
    0.73
     adolesc
    0.73
    zyk
    0.72
    xit
    0.70
     Dame
    0.70
     River
    0.70
    Activations Density 0.009%

    No Known Activations