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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. 11-RES-JB
    11. 2361
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    Explanations

    phrases related to the concept of learning

    oai_token-act-pair · gpt-3.5-turbo

    terms related to the concept of learning and educational experiences

    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
    Ĥª
    -0.81
    nery
    -0.67
    zzi
    -0.66
    pard
    -0.66
     contiguous
    -0.65
    idation
    -0.65
    jon
    -0.65
    gie
    -0.64
    asel
    -0.64
    berto
    -0.63
    POSITIVE LOGITS
     disabilities
    1.21
     curve
    1.14
     Curve
    0.97
     curves
    0.95
     disability
    0.94
     aids
    0.91
    learn
    0.79
     experiences
    0.77
    Lear
    0.77
     outcomes
    0.75
    Activations Density 0.043%

    No Known Activations