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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. 18448
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    oai_token-act-pair · gpt-3.5-turbo

    nouns and specific entities

    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
     Azerb
    -0.59
     Gaw
    -0.55
    ãĥ¼ãĥĨ
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     Thompson
    -0.52
    Thompson
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     McKay
    -0.51
    âĸ¬
    -0.51
     Corps
    -0.50
    athan
    -0.50
     Kurd
    -0.50
    POSITIVE LOGITS
    ource
    1.15
    peed
    1.04
    ystem
    1.02
    heet
    1.02
    ync
    1.01
    pace
    1.01
    ilver
    1.00
    hip
    0.97
    afety
    0.95
    etting
    0.94
    Activations Density 0.172%

    No Known Activations