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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. 10-RES-JB
    11. 4843
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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     glitches
    -0.89
     blitz
    -0.80
    untled
    -0.79
    ventory
    -0.74
     dumps
    -0.72
    soon
    -0.72
     spam
    -0.71
     dumping
    -0.71
     shenanigans
    -0.70
    mouth
    -0.70
    POSITIVE LOGITS
     enshr
    1.45
     bedrock
    1.18
     paramount
    1.18
     cornerstone
    1.13
     foundational
    1.09
     principles
    1.09
     sacred
    1.06
     creed
    1.06
     ideals
    1.04
     equality
    1.04
    Activations Density 0.550%

    No Known Activations