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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. 11-RES-JB
    11. 11688
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    INDEX
    Explanations

    information related to weight and measurement, specifically focusing on pounds or kg

    oai_token-act-pair · gpt-3.5-turbo

    references to weight and mass

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eday
    -0.81
    cknow
    -0.69
    issance
    -0.65
    ways
    -0.65
     millisec
    -0.64
    effects
    -0.64
     Mothers
    -0.63
    rise
    -0.61
    MODE
    -0.60
    invoke
    -0.59
    POSITIVE LOGITS
     heavier
    1.18
     lighter
    1.15
     sterling
    1.08
     overweight
    1.04
     weight
    1.02
     lbs
    0.98
    lbs
    0.98
     gorilla
    0.97
    Weight
    0.93
     unloaded
    0.92
    Activations Density 0.036%

    No Known Activations