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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. 3-RES-JB
    11. 5158
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    Explanations

    dates

    oai_token-act-pair · gpt-3.5-turbo

    date-related mentions and timestamps

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oppable
    -0.93
    igne
    -0.84
    atics
    -0.83
    atively
    -0.81
    itol
    -0.81
    qqa
    -0.80
    etsy
    -0.80
    iazep
    -0.79
    ammy
    -0.79
    advertisement
    -0.78
    POSITIVE LOGITS
     Hive
    0.77
    Time
    0.76
     Hath
    0.76
     Clicker
    0.75
     Wire
    0.71
    Date
    0.70
     Skydragon
    0.70
     Distance
    0.69
     Artifact
    0.68
     Finder
    0.68
    Activations Density 0.015%

    No Known Activations