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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. 8645
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    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
     equally
    -0.74
     frontline
    -0.74
     wiser
    -0.73
     sculpt
    -0.73
     crunch
    -0.72
     chewing
    -0.70
     Everett
    -0.70
     losing
    -0.70
     increasingly
    -0.70
     banging
    -0.69
    POSITIVE LOGITS
    Description
    1.44
    Contents
    1.44
    Overview
    1.42
    Usage
    1.39
    Instruct
    1.38
    Introduction
    1.37
    Installation
    1.36
    Definition
    1.34
    Information
    1.34
    Details
    1.34
    Activations Density 0.322%

    No Known Activations