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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. 4-RES-JB
    11. 7248
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    Explanations

    nouns related to glacial periods and regions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to race and ethnicity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    krit
    -0.78
    INGTON
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    zig
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    href
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    hidden
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    avering
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    aro
    -0.71
    Tube
    -0.70
    skilled
    -0.70
    nard
    -0.70
    POSITIVE LOGITS
     lake
    0.74
     habitats
    0.72
     lakes
    0.71
     dams
    0.70
     Cabrera
    0.69
     ancest
    0.69
     explorers
    0.68
     feats
    0.68
     attrition
    0.68
     empires
    0.68
    Activations Density 0.020%

    No Known Activations