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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 1378
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    Explanations

    phrases related to reasons or justifications

    oai_token-act-pair · gpt-3.5-turbo

    patterns indicating reasons and explanations for events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Expert
    -0.76
    doi
    -0.73
     proficiency
    -0.71
     Prototype
    -0.66
     prototype
    -0.66
     sophistication
    -0.66
    fitted
    -0.65
     cryptography
    -0.63
     benchmarks
    -0.61
     Swordsman
    -0.61
    POSITIVE LOGITS
     quitting
    1.55
     resign
    1.46
     discontin
    1.44
     resignation
    1.43
     disband
    1.43
     layoffs
    1.43
     exodus
    1.40
     departure
    1.39
     termination
    1.38
     cancellation
    1.36
    Activations Density 1.053%

    No Known Activations