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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. 16113
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    Explanations

    instances of the word "many."

    oai_token-act-pair · gpt-3.5-turbo

    references to the word "many" or concepts of quantity

    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
    ADVERTISEMENT
    -0.77
     srfAttach
    -0.74
    IER
    -0.73
    terday
    -0.72
    ema
    -0.69
    ovember
    -0.69
    orus
    -0.65
    ooth
    -0.65
    both
    -0.64
    é¾
    -0.64
    POSITIVE LOGITS
     nuances
    0.83
     remaining
    0.82
     complexities
    0.80
     facets
    0.75
     contradictions
    0.75
     exceptions
    0.75
    ties
    0.73
     discrepancies
    0.72
     scattered
    0.72
     negatives
    0.71
    Activations Density 0.169%

    No Known Activations