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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. 0-RES-JB
    11. 12372
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    Explanations

    phrases related to fundamental concepts or principles

    oai_token-act-pair · gpt-3.5-turbo

    references to fundamental concepts or principles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    wine
    -0.73
     Spray
    -0.70
    cup
    -0.63
    icia
    -0.63
    hoe
    -0.63
    taboola
    -0.63
    gre
    -0.62
    tainment
    -0.62
     Stun
    -0.61
    yards
    -0.61
    POSITIVE LOGITS
     fundamental
    3.40
     Fundamental
    2.34
     foundational
    1.88
     fundamentals
    1.77
     basic
    1.75
     fundamentally
    1.65
    amental
    1.63
     profound
    1.43
     fundament
    1.41
     essential
    1.39
    Activations Density 0.020%

    No Known Activations