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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. 2-RES-JB
    6. 21599
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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
    Not in Any Lists

    No Comments

    Negative Logits
    utenberg
    -0.77
     goddess
    -0.64
    communications
    -0.64
    wait
    -0.63
    meal
    -0.61
    truth
    -0.60
     Laurent
    -0.60
     interrupt
    -0.59
    notations
    -0.59
     fugitive
    -0.57
    POSITIVE LOGITS
    ĸļ
    0.89
    Ô
    0.81
    ģĸ
    0.79
    20439
    0.73
    UGE
    0.73
    redo
    0.71
    ãĥ¼ãĥĨ
    0.71
    TOP
    0.70
    azy
    0.69
    ritional
    0.69
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.