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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. 1183
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    Explanations

    words related to streaming

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "streaming" in various contexts

    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
     relativity
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     prest
    -0.62
     Mans
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     pes
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     Johns
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     Oriental
    -0.58
     Mutual
    -0.57
     misunderstanding
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     Bav
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     Council
    -0.55
    POSITIVE LOGITS
    lining
    1.48
    lined
    1.28
    liner
    1.12
    line
    1.07
    ers
    0.97
    lines
    0.96
    stream
    0.93
    liners
    0.93
    embed
    0.86
    buster
    0.86
    Activations Density 0.049%

    No Known Activations