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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. 6493
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    Explanations

    names of people

    oai_token-act-pair · gpt-3.5-turbo

    names of authors and contributors in academic 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
    Not in Any Lists

    No Comments

    Negative Logits
    EStream
    -0.75
    interstitial
    -0.74
    stretched
    -0.68
    Cub
    -0.66
    jug
    -0.65
    EStreamFrame
    -0.64
     fused
    -0.64
    redd
    -0.62
    wcs
    -0.60
     subord
    -0.59
    POSITIVE LOGITS
     supra
    1.04
     et
    1.00
     Kenneth
    0.99
     JM
    0.97
     RJ
    0.96
     Katherine
    0.95
     Judith
    0.93
     Jr
    0.92
     Geoffrey
    0.92
     Associates
    0.90
    Activations Density 0.043%

    No Known Activations