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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. 11-RES-JB
    11. 11276
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    Explanations

    names of people and locations within the context of academic references

    oai_token-act-pair · gpt-3.5-turbo

    elements related to citations and references in academic texts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    EStream
    -0.83
     tremend
    -0.73
    Cub
    -0.70
    cffff
    -0.68
    uesday
    -0.68
     misunder
    -0.67
    wcs
    -0.66
    jug
    -0.66
     fused
    -0.66
    ilant
    -0.65
    POSITIVE LOGITS
     et
    0.96
     RJ
    0.91
     supra
    0.89
     J
    0.87
     JM
    0.86
     Jr
    0.86
     MJ
    0.86
     Kenneth
    0.85
     Marilyn
    0.82
     unpublished
    0.80
    Activations Density 0.038%

    No Known Activations