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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. 1-RES-JB
    11. 22409
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    INGTON
    -0.74
    ueless
    -0.74
    leeve
    -0.74
    inventoryQuantity
    -0.72
    istani
    -0.72
    othy
    -0.71
     Beware
    -0.69
    esson
    -0.68
     rul
    -0.65
     Yor
    -0.65
    POSITIVE LOGITS
    eros
    0.73
    hene
    0.71
    cule
    0.65
    PsyNetMessage
    0.64
    wire
    0.60
     prep
    0.59
    ances
    0.59
     staffing
    0.59
    ictions
    0.59
    UID
    0.59
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.