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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. 4-RES-JB
    11. 13080
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ource
    -0.77
    cham
    -0.73
     Lauder
    -0.67
     censored
    -0.66
     SAP
    -0.63
    bish
    -0.61
     Walters
    -0.61
     Hitchcock
    -0.59
     AN
    -0.57
    icals
    -0.57
    POSITIVE LOGITS
    Enlarge
    0.84
    atar
    0.80
    Merit
    0.73
    Blocks
    0.72
    Marginal
    0.69
    ãĤ¼
    0.69
    Mach
    0.69
    orthern
    0.69
    leground
    0.68
    Runner
    0.67
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.