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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. 18629
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    Explanations

    terms related to organizing and managing notes and data, particularly focused on actions like creating, filtering, importing, and selecting

    oai_token-act-pair · gpt-3.5-turbo

    instructions related to organizing and managing data in a software context

    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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     virginity
    -0.80
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    boys
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    athlon
    -0.70
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    -0.69
     Anthem
    -0.68
     abstinence
    -0.66
     ringing
    -0.66
    awei
    -0.65
    POSITIVE LOGITS
     toolbar
    1.26
     CSV
    1.20
     Editing
    1.17
    Export
    1.13
     Export
    1.10
     Annotations
    1.08
     tooltip
    1.08
     formatting
    1.07
     editor
    1.07
     editing
    1.05
    Activations Density 0.333%

    No Known Activations