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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. 6-RES-JB
    11. 13640
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    INDEX
    Explanations

    terms related to potential situations or events

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of potential outcomes or possibilities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cipline
    -0.83
    ogie
    -0.79
    cloth
    -0.75
    ulu
    -0.74
    antry
    -0.72
    gaard
    -0.72
    car
    -0.71
    hips
    -0.71
    uart
    -0.71
    bows
    -0.70
    POSITIVE LOGITS
     future
    0.93
     unintended
    0.83
     pitfalls
    0.80
     threats
    0.79
     fallout
    0.79
     spoilers
    0.78
     usefulness
    0.77
     futures
    0.76
     adversaries
    0.75
     defect
    0.75
    Activations Density 0.029%

    No Known Activations