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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. 10-RES-JB
    11. 3017
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    phrases related to research and development

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to research and development initiatives

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    é»Ĵ
    -0.88
    iguous
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    ppings
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    wic
    -0.72
    ãĥĥãĥī
    -0.70
    éŃĶ
    -0.69
    emen
    -0.69
    ukong
    -0.68
    mop
    -0.67
    POSITIVE LOGITS
     experimentation
    1.46
     development
    1.36
     innovation
    1.22
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    1.17
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    1.13
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    1.13
     debugging
    1.12
     dissemination
    1.11
     analytics
    1.10
     consultancy
    1.10
    Activations Density 0.147%

    No Known Activations