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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. 6471
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    Explanations

    dates and specific events or occurrences

    oai_token-act-pair · gpt-3.5-turbo

    dates and numerical references

    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
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    No Comments

    Negative Logits
     Lav
    -0.99
     Levin
    -0.87
    Ark
    -0.82
     Luna
    -0.81
     Ballard
    -0.80
     Angel
    -0.79
     Villa
    -0.79
     Ally
    -0.78
     Ark
    -0.76
     Allison
    -0.76
    POSITIVE LOGITS
    ich
    1.00
    ij
    1.00
    isco
    0.97
    oug
    0.92
    19
    0.88
     189
    0.88
    ugh
    0.87
    189
    0.86
    ococ
    0.86
     Jiang
    0.85
    Activations Density 0.457%

    No Known Activations