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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. 8-RES-JB
    11. 6449
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    Explanations

    words related to the concept of learning

    oai_token-act-pair · gpt-3.5-turbo

    references 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 @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vati
    -0.75
    senal
    -0.74
    zzi
    -0.72
    pard
    -0.69
    govtrack
    -0.68
     Shipping
    -0.68
    een
    -0.65
    lished
    -0.65
    Ĥª
    -0.65
    abwe
    -0.65
    POSITIVE LOGITS
     disabilities
    0.97
     Curve
    0.92
     curve
    0.89
    learn
    0.85
    Lear
    0.84
     Lear
    0.78
    Learning
    0.78
     lessons
    0.77
    fulness
    0.77
     disability
    0.76
    Activations Density 0.033%

    No Known Activations