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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. 10-RES-JB
    11. 936
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    Explanations

    succinct summaries or conclusions

    oai_token-act-pair · gpt-3.5-turbo

    instances of the phrase "in short" indicating a summary or conclusion

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    "},"
    -0.66
    kefeller
    -0.61
     sorely
    -0.58
    psey
    -0.56
    ggles
    -0.56
     uniquely
    -0.56
    izons
    -0.53
     knees
    -0.52
    rocal
    -0.52
    avorite
    -0.52
    POSITIVE LOGITS
     nutshell
    1.05
    :
    0.86
    ,
    0.83
    ,.
    0.78
     terms
    0.76
     however
    0.71
    !:
    0.68
    opsis
    0.67
     though
    0.67
    :'
    0.66
    Activations Density 0.054%

    No Known Activations