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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. 4963
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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
     additive
    -0.74
     floor
    -0.73
     indications
    -0.68
     accountant
    -0.67
     indication
    -0.66
     inauguration
    -0.65
     evidence
    -0.65
     payroll
    -0.64
     floors
    -0.63
    arrell
    -0.62
    POSITIVE LOGITS
    ãĤ¦ãĤ¹
    0.90
    lez
    0.85
    zona
    0.82
    bol
    0.82
    ibles
    0.77
    sonian
    0.76
    vous
    0.75
    furt
    0.74
    dx
    0.73
     Stras
    0.70
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.