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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. 2-RES-JB
    11. 15060
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    hound
    -0.84
     Huck
    -0.71
    plate
    -0.71
    trap
    -0.70
     Bones
    -0.69
    yard
    -0.68
    holes
    -0.68
    mere
    -0.67
    runners
    -0.67
     Tanner
    -0.67
    POSITIVE LOGITS
    awaru
    0.72
     arsen
    0.68
     contributions
    0.67
     incomp
    0.66
     reconc
    0.64
    ioxide
    0.64
    inventoryQuantity
    0.63
     derivative
    0.63
    ogl
    0.63
    arling
    0.62
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.