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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. 0-RES-JB
    6. 9192
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    Explanations

    measurements or dimensions described in inches

    oai_token-act-pair · gpt-3.5-turbo

    measurements in inches

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ende
    -0.69
     volunt
    -0.66
    wik
    -0.66
    ãĥĨ
    -0.64
    rance
    -0.63
    roid
    -0.63
    aine
    -0.63
    aga
    -0.62
    lene
    -0.62
    vik
    -0.61
    POSITIVE LOGITS
     inches
    3.56
     inch
    2.29
    inches
    2.23
     centimeters
    2.21
     feet
    1.67
     ounces
    1.48
     pounds
    1.48
    inch
    1.44
     metres
    1.42
     cm
    1.30
    Activations Density 0.013%

    No Known Activations