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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. 9-RES-JB
    11. 18285
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    Explanations

    symbols and code snippets

    oai_token-act-pair · gpt-3.5-turbo

    instances of performance-related metrics or indicators

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     waged
    -0.79
     cherished
    -0.78
     commemor
    -0.76
     foul
    -0.76
     furthe
    -0.75
     fiercely
    -0.74
     photographed
    -0.74
     lost
    -0.74
     tire
    -0.74
     cement
    -0.73
    POSITIVE LOGITS
    Usage
    1.75
    Example
    1.75
    Installation
    1.65
    Creating
    1.54
    Using
    1.54
    Requirements
    1.54
    License
    1.53
    Examples
    1.53
    <?
    1.53
    Simple
    1.52
    Activations Density 0.188%

    No Known Activations