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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. 3-RES-JB
    11. 409
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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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    No Comments

    Negative Logits
    onew
    -0.69
     electors
    -0.68
     Ridley
    -0.68
    vernment
    -0.67
    cy
    -0.64
    ãĤ¼
    -0.62
    nered
    -0.61
     Fry
    -0.61
    ery
    -0.61
    oop
    -0.61
    POSITIVE LOGITS
    odes
    0.81
     <!--
    0.80
    ologies
    0.79
    estones
    0.75
    bane
    0.71
    ographics
    0.70
    inav
    0.69
    casters
    0.68
     Ingredients
    0.68
    anwhile
    0.67
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.