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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
    6. 9253
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     experimentation
    -0.65
    terness
    -0.64
     experimenting
    -0.62
     reins
    -0.61
    luster
    -0.60
     adjusting
    -0.60
     clipping
    -0.59
    tering
    -0.59
    staking
    -0.59
    lain
    -0.58
    POSITIVE LOGITS
    )
    1.27
    )]
    1.19
    )\
    1.16
    )/
    1.13
    )[
    1.10
    ),
    1.10
    )|
    1.09
    )}
    1.09
    ())
    1.08
    /)
    1.08
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.