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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. 22775
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    Explanations

    dates and time references

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of specific events or activities involving dates and locations

    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
     threats
    -0.64
     contag
    -0.64
     blockers
    -0.62
     aides
    -0.61
     meanwhile
    -0.61
     wiser
    -0.61
     contingency
    -0.60
     restraining
    -0.59
     quo
    -0.59
     proxy
    -0.59
    POSITIVE LOGITS
     Located
    0.82
    eaturing
    0.68
     FREE
    0.67
    2018
    0.66
    formerly
    0.63
     Featuring
    0.63
     1955
    0.62
     1889
    0.62
     Adult
    0.62
    tesy
    0.61
    Activations Density 0.803%

    No Known Activations