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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. 3312
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    Explanations

    numbers with decimals

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks and their placement in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
     distinguished
    -0.70
     classified
    -0.70
     eleven
    -0.67
     bere
    -0.65
     finer
    -0.65
     racing
    -0.65
     activ
    -0.64
     freshman
    -0.64
     scattered
    -0.63
     furthe
    -0.63
    POSITIVE LOGITS
     Beware
    1.20
     Conclusion
    1.15
     Doesn
    1.06
     Provide
    1.06
     Lastly
    1.04
     Finally
    1.03
     Explain
    1.01
     THERE
    1.01
     Didn
    1.01
     Increase
    1.01
    Activations Density 0.089%

    No Known Activations