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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. 11207
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    Explanations

    references to specific time periods

    oai_token-act-pair · gpt-3.5-turbo

    references to recent time periods or events

    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
    holes
    -0.72
    adle
    -0.68
    ounters
    -0.66
    /#
    -0.63
    roots
    -0.63
    hess
    -0.62
    ansk
    -0.62
    bred
    -0.62
    ounter
    -0.61
    keye
    -0.61
    POSITIVE LOGITS
     week
    1.42
     month
    1.41
     year
    1.28
     night
    1.16
     summer
    1.08
     weekend
    1.08
     autumn
    1.00
     fall
    1.00
     decade
    0.98
     semester
    0.97
    Activations Density 0.061%

    No Known Activations