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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. 22727
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    Explanations

    phrases related to learning from mistakes

    oai_token-act-pair · gpt-3.5-turbo

    references to the act of learning from experiences or mistakes

    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
    Not in Any Lists

    No Comments

    Negative Logits
    女
    -1.07
    interstitial
    -0.89
    estate
    -0.83
    reau
    -0.82
    asio
    -0.81
    itle
    -0.81
    inence
    -0.81
    imo
    -0.80
    atsu
    -0.80
    hesion
    -0.77
    POSITIVE LOGITS
     experience
    1.21
     mistakes
    1.17
     lessons
    1.08
     experiences
    1.05
     Experience
    1.00
     afar
    0.95
     lesson
    0.93
     Lessons
    0.92
     past
    0.87
     successes
    0.86
    Activations Density 0.144%

    No Known Activations