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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. 16430
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    Explanations

    specific mentions of dates and events

    oai_token-act-pair · gpt-3.5-turbo

    dates and temporal references

    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
     Otherwise
    -0.59
    Otherwise
    -0.55
     />
    -0.53
    advertisement
    -0.53
     endif
    -0.52
    ebin
    -0.52
    "},"
    -0.50
    inates
    -0.50
    ktop
    -0.48
    specified
    -0.47
    POSITIVE LOGITS
     there
    0.85
    there
    0.77
     we
    0.74
     ,
    0.74
     it
    0.73
    /,
    0.73
    *,
    0.71
    ,[
    0.71
     they
    0.68
     (),
    0.67
    Activations Density 0.355%

    No Known Activations