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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 19519
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    Explanations

    4-digit years

    oai_token-act-pair · gpt-3.5-turbo

    years or dates mentioned in the text

    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
     speedy
    -0.56
    ggles
    -0.55
     intangible
    -0.55
    verages
    -0.54
     norm
    -0.51
    ube
    -0.51
     continu
    -0.50
    Tags
    -0.49
     Meter
    -0.49
     substance
    -0.48
    POSITIVE LOGITS
    -'
    1.08
     alone
    0.87
    staking
    0.85
    \.
    0.78
     when
    0.74
    .
    0.70
    å¹
    0.69
    when
    0.69
    â̲
    0.69
     after
    0.68
    Activations Density 0.123%

    No Known Activations