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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. 3-RES-JB
    6. 2428
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    icult
    -0.81
    lass
    -0.73
    rentices
    -0.65
    onge
    -0.64
    ulas
    -0.62
    atted
    -0.61
     behavi
    -0.60
     landlord
    -0.60
     fisher
    -0.59
    ards
    -0.59
    POSITIVE LOGITS
    ãĥ»
    0.81
    ispers
    0.79
    Leg
    0.75
    govtrack
    0.73
     TBD
    0.73
    luaj
    0.73
    iHUD
    0.72
     Reloaded
    0.70
    è£ħ
    0.69
     Become
    0.67
    Activations Density 0.000%

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    This feature has no known activations.