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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. 9-RES-JB
    11. 6872
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    Explanations

    descriptions of content or events

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nesty
    -0.80
    lycer
    -0.79
    protection
    -0.78
     )]
    -0.77
    argument
    -0.70
     Prediction
    -0.68
     Explan
    -0.68
     blaming
    -0.67
    PsyNetMessage
    -0.67
    due
    -0.67
    POSITIVE LOGITS
     classics
    1.01
     eras
    0.94
     landmarks
    0.92
     iconic
    0.90
     celebrities
    0.86
     landscapes
    0.85
     unforgettable
    0.85
     contemporary
    0.84
     genres
    0.84
     continents
    0.84
    Activations Density 0.776%

    No Known Activations