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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. 3-RES-JB
    11. 9134
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    Explanations

    words related to serialization and customization in computing

    oai_token-act-pair · gpt-3.5-turbo

    words related to data processing and customization

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    neck
    -0.72
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    ben
    -0.64
    nard
    -0.63
     trench
    -0.63
     eminent
    -0.62
    isl
    -0.61
    POSITIVE LOGITS
     optimization
    0.87
     algorithms
    0.81
     processes
    0.78
     optimizations
    0.78
     algorithm
    0.77
    Services
    0.77
    igger
    0.77
     Errors
    0.76
    gradation
    0.75
    grading
    0.75
    Activations Density 0.121%

    No Known Activations