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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. 11-RES-JB
    11. 17483
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    Explanations

    technical terms related to classification and categorization

    oai_token-act-pair · gpt-3.5-turbo

    terms related to classification and categorization

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Americans
    -0.84
    bugs
    -0.81
    yrights
    -0.80
    facts
    -0.77
    forces
    -0.77
    aws
    -0.75
    justice
    -0.72
    Britain
    -0.72
    feel
    -0.71
    iev
    -0.70
    POSITIVE LOGITS
     multip
    1.21
     semi
    1.17
     multic
    1.11
     hybrid
    1.07
     standalone
    1.05
     stationary
    1.03
     conventional
    1.02
     intermediate
    1.01
     non
    1.01
     sequential
    0.99
    Activations Density 0.371%

    No Known Activations