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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. 23972
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    Explanations

    technical terms related to coding and math

    oai_token-act-pair · gpt-3.5-turbo

    statements that define attributes or characteristics

    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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    No Comments

    Negative Logits
    details
    -0.77
     IMAGES
    -0.75
    ventures
    -0.72
    enaries
    -0.70
    edin
    -0.70
    iasco
    -0.69
    eers
    -0.68
     ventures
    -0.66
     woes
    -0.66
    usercontent
    -0.65
    POSITIVE LOGITS
     preferable
    0.98
     shorthand
    0.97
     considered
    0.97
     substituted
    0.90
     preferred
    0.90
     interpreted
    0.89
     synonymous
    0.88
     pronounced
    0.87
     assumed
    0.85
     equivalent
    0.85
    Activations Density 0.263%

    No Known Activations