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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. 8527
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    Explanations

    measurements of weight in kilograms

    oai_token-act-pair · gpt-3.5-turbo

    measurements related to weight in kilograms and pounds

    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
    gotten
    -0.79
    bidden
    -0.69
    structed
    -0.67
    GROUND
    -0.67
    BOOK
    -0.63
     Explain
    -0.62
    cknowled
    -0.61
    displayText
    -0.60
    vironment
    -0.60
     Byz
    -0.59
    POSITIVE LOGITS
    atsu
    0.95
     gorilla
    0.88
    kg
    0.85
     lbs
    0.83
    ross
    0.82
     kg
    0.79
    rafted
    0.78
    lbs
    0.77
     kilograms
    0.76
    ingly
    0.75
    Activations Density 0.021%

    No Known Activations