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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. 15340
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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
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    Negative Logits
     broadcasting
    -0.76
     drifting
    -0.68
     mism
    -0.67
     xen
    -0.66
     interstellar
    -0.65
     Coil
    -0.65
     Laksh
    -0.64
     syn
    -0.64
     doom
    -0.64
     emanating
    -0.63
    POSITIVE LOGITS
    ãĤ®
    0.87
    Penn
    0.79
    phrine
    0.79
     Cosponsors
    0.77
    actionDate
    0.76
    Studies
    0.76
    orative
    0.75
    ESE
    0.75
    rice
    0.74
    furt
    0.73
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.