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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. 8-RES-JB
    11. 904
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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 @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    xual
    -0.78
    Ò
    -0.70
    atomic
    -0.70
    eful
    -0.70
     Runner
    -0.70
     livest
    -0.68
    oday
    -0.66
    cot
    -0.65
    ilon
    -0.65
    minster
    -0.64
    POSITIVE LOGITS
     recourse
    0.90
     proceedings
    0.90
    suit
    0.87
     precedent
    0.86
     counsel
    0.85
    ising
    0.85
    suits
    0.84
     enforcement
    0.82
     filings
    0.81
     adviser
    0.80
    Activations Density 0.033%

    No Known Activations