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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. 3-RES-JB
    11. 16422
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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
    Not in Any Lists

    No Comments

    Negative Logits
    eret
    -0.80
    uyomi
    -0.80
    mates
    -0.77
    imentary
    -0.75
     unfocusedRange
    -0.75
    utch
    -0.68
    mate
    -0.68
    cloth
    -0.67
    lp
    -0.67
     Knot
    -0.65
    POSITIVE LOGITS
     recogn
    0.68
     tremend
    0.67
     Erit
    0.65
     millenn
    0.62
    heric
    0.58
     stimul
    0.57
     unnecess
    0.57
    Û
    0.56
    Reloaded
    0.56
    accompan
    0.56
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.