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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. 8-RES-JB
    6. 17296
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    Explanations

    words indicating theories, beliefs, or ideas such as "assumption," "conclusion," or "observation."

    oai_token-act-pair · gpt-3.5-turbo

    terms relating to assumptions and conclusions

    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
    endars
    -0.95
    NetMessage
    -0.89
    inia
    -0.78
    cler
    -0.72
    pleting
    -0.72
    artney
    -0.71
    ensis
    -0.70
    rha
    -0.70
    events
    -0.68
    OTOS
    -0.68
    POSITIVE LOGITS
     uttered
    0.84
     echoed
    0.83
     expressed
    0.81
     assumption
    0.80
     glean
    0.80
     about
    0.79
     regarding
    0.79
     premise
    0.78
     articulated
    0.78
     voiced
    0.78
    Activations Density 0.245%

    No Known Activations