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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. 10-RES-JB
    11. 10245
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    INDEX
    Explanations

    names of specific individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of people

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    Results
    -0.61
    Secondly
    -0.56
    itized
    -0.56
    Decre
    -0.54
    RELATED
    -0.54
     heaviest
    -0.53
     crossover
    -0.53
     scarce
    -0.53
    angular
    -0.52
     Hearth
    -0.52
    POSITIVE LOGITS
     Jr
    1.26
     QC
    1.06
     III
    1.05
     Associates
    1.03
     Sr
    1.00
     (@
    0.96
     Chair
    0.88
     LLP
    0.87
     PhD
    0.86
     Architects
    0.84
    Activations Density 0.369%

    No Known Activations