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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. 11-RES-JB
    11. 12692
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    Explanations

    numbers with decimal points

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks and numerical values in a variety of contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     activ
    -0.76
     distinguished
    -0.74
     sensitive
    -0.74
     permitted
    -0.72
     deliveries
    -0.71
     effected
    -0.71
     scattered
    -0.70
     obliged
    -0.69
     displ
    -0.69
     eager
    -0.68
    POSITIVE LOGITS
     Conclusion
    1.31
     Beware
    1.27
     Explain
    1.16
     [+
    1.14
     Deter
    1.11
     Avoid
    1.11
     Provide
    1.11
     Understand
    1.11
     Why
    1.09
     THERE
    1.08
    Activations Density 0.082%

    No Known Activations