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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. 9-RES-JB
    11. 23859
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    Explanations

    specific geographic locations

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and names related to geographical and cultural references

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    staking
    -0.68
     Rollins
    -0.62
     yourselves
    -0.61
    inventoryQuantity
    -0.61
    Beck
    -0.61
    ackle
    -0.60
     minded
    -0.60
     Kimmel
    -0.59
    ä
    -0.57
    PDATE
    -0.57
    POSITIVE LOGITS
    itaire
    0.90
    alis
    0.73
    rera
    0.70
    anca
    0.69
     Resort
    0.67
    roma
    0.66
    ima
    0.66
     faire
    0.64
    rha
    0.63
    adas
    0.63
    Activations Density 0.242%

    No Known Activations