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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. 2-RES-JB
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    Explanations

    the word "learning" in various contexts

    oai_token-act-pair · gpt-4-turbo

    references to educational contexts and learning experiences

    oai_token-act-pair · gpt-3.5-turbo

    terms related to the concept of learning

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    berus
    -0.70
    urdue
    -0.65
    een
    -0.64
     tightly
    -0.63
    uru
    -0.63
    eq
    -0.62
    gpu
    -0.62
    eah
    -0.62
    asu
    -0.62
    hua
    -0.61
    POSITIVE LOGITS
    learn
    0.85
    Learning
    0.84
     Curve
    0.78
     Learned
    0.76
    Lear
    0.74
     Clicker
    0.74
     disabilities
    0.73
    llor
    0.73
     Learn
    0.72
    Learn
    0.71
    Activations Density 0.010%

    No Known Activations