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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. 2407
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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
    Not in Any Lists

    No Comments

    Negative Logits
    lished
    -0.74
    ascript
    -0.73
    estern
    -0.73
    ocument
    -0.70
    icult
    -0.69
     rarity
    -0.69
     Tempest
    -0.69
    razil
    -0.68
     RAND
    -0.68
     Kinn
    -0.68
    POSITIVE LOGITS
    bas
    0.87
    stones
    0.83
    stone
    0.82
    oz
    0.77
    built
    0.77
    burning
    0.75
    made
    0.74
    fu
    0.74
    po
    0.73
    sol
    0.73
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.