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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. 2540
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    INDEX
    Explanations

    phrases related to training or learning

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "training."

    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
    onymous
    -0.92
    xit
    -0.74
    estate
    -0.71
     Aven
    -0.71
    rils
    -0.71
    ickle
    -0.71
    Publisher
    -0.70
    atom
    -0.70
    uid
    -0.70
    scl
    -0.69
    POSITIVE LOGITS
     training
    3.67
    training
    3.08
     Training
    2.93
    Training
    2.89
     trained
    2.10
     trainers
    2.02
     trainer
    1.87
    trained
    1.85
     coaching
    1.69
     train
    1.68
    Activations Density 0.013%

    No Known Activations