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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. 8-RES-JB
    11. 23538
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    Explanations

    statements with citations or references

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of a specific symbol or character in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     decomp
    -0.65
     Sic
    -0.64
     board
    -0.63
     Manhattan
    -0.62
     sled
    -0.61
     fid
    -0.60
     blond
    -0.59
     Whit
    -0.59
     Ukrain
    -0.59
     scatter
    -0.59
    POSITIVE LOGITS
    ¬
    1.14
    ¡
    1.10
    Ĵ
    1.08
    ¤
    1.01
    ij
    0.98
    ı
    0.97
    ľ
    0.96
    Ļ
    0.93
    º
    0.93
    ī
    0.91
    Activations Density 0.378%

    No Known Activations