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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. 4208
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    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
     spont
    -0.76
     proxies
    -0.75
     electroly
    -0.74
     interactions
    -0.65
     toilets
    -0.64
     Galile
    -0.64
     peas
    -0.64
     anarchism
    -0.62
     cooper
    -0.62
     interaction
    -0.62
    POSITIVE LOGITS
    winning
    1.22
    eligible
    1.15
    caliber
    1.14
    laden
    1.02
    sized
    1.00
    level
    0.99
    worthy
    0.97
    advertisement
    0.95
    derived
    0.94
    year
    0.92
    Activations Density 0.081%

    No Known Activations