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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. 1118
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    Explanations

    mentions of meetings or gatherings between different entities or individuals

    oai_token-act-pair · gpt-3.5-turbo

    mentions of locations and their significance in events

    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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    Negative Logits
    Ħ¢
    -0.84
    ¶æ
    -0.81
     certs
    -0.77
    xual
    -0.74
    lly
    -0.73
    hest
    -0.72
    ĺħ
    -0.68
     amput
    -0.66
    vertising
    -0.65
    lins
    -0.63
    POSITIVE LOGITS
     Geneva
    1.18
     Vienna
    1.10
     Brussels
    1.09
     Washington
    1.08
     Frankfurt
    1.07
     Stras
    1.07
     Warsaw
    1.04
     Oslo
    1.03
     Canberra
    1.02
     Room
    1.02
    Activations Density 0.125%

    No Known Activations