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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. 9-RES-JB
    6. 21633
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    Explanations

    dimensions in millimeters

    oai_token-act-pair · gpt-3.5-turbo

    specific numerical dimensions and measurements in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    theme
    -0.82
    Reviewer
    -0.74
    eco
    -0.72
    reality
    -0.70
    agonist
    -0.70
    selection
    -0.69
    recogn
    -0.68
    anus
    -0.68
    panic
    -0.68
    ACTION
    -0.66
    POSITIVE LOGITS
     pounds
    1.15
     lbs
    1.11
     hours
    1.10
     kg
    1.08
     grams
    1.08
     degrees
    1.07
     hrs
    1.07
     km
    1.06
     inches
    1.06
     mins
    1.05
    Activations Density 0.167%

    No Known Activations