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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. 18619
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    Explanations

    Tagalog phrases

    oai_token-act-pair · gpt-3.5-turbo

    phrases or themes related to cultural expressions and identity

    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
    ãĥ´
    -0.82
     Dresden
    -0.80
     Cologne
    -0.80
    England
    -0.75
     Canaan
    -0.72
     Elves
    -0.71
     Vienna
    -0.71
     Zurich
    -0.69
    Germany
    -0.69
     Waterloo
    -0.69
    POSITIVE LOGITS
     kay
    1.02
     pag
    1.00
    yan
    1.00
     ng
    0.99
     lang
    0.94
    angan
    0.90
     ko
    0.90
    awan
    0.89
    asin
    0.87
     ang
    0.87
    Activations Density 0.079%

    No Known Activations