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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. 0-RES-JB
    11. 13024
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    Explanations

    technical settings and configurations

    oai_token-act-pair · gpt-3.5-turbo

    references to configuration options or parameters within various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    -0.77
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     Fiscal
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    walk
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    POSITIVE LOGITS
     settings
    3.78
     Settings
    2.67
    settings
    2.31
    Settings
    2.09
     setting
    2.00
     Setting
    1.68
     presets
    1.66
    Setting
    1.60
     configurations
    1.60
     contexts
    1.54
    Activations Density 0.010%

    No Known Activations