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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. 8-RES-JB
    11. 107
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    Explanations

    references to different types of pipelines and related content

    oai_token-act-pair · gpt-3.5-turbo

    references to various pipeline projects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    enance
    -0.83
    usc
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    doms
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    iencies
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    ews
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    ãĤ¦ãĤ¹
    -0.70
    abilia
    -0.70
    orian
    -0.70
    arya
    -0.68
    ores
    -0.68
    POSITIVE LOGITS
     pipeline
    0.94
     pipelines
    0.92
     route
    0.87
     transporting
    0.84
     conduit
    0.83
     routes
    0.81
     connecting
    0.77
     Pipeline
    0.77
     rupt
    0.76
     condu
    0.75
    Activations Density 0.030%

    No Known Activations