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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. 9-RES-JB
    11. 5227
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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Architects
    -0.54
     earthquakes
    -0.49
     inventions
    -0.45
     TECH
    -0.43
     Expand
    -0.43
     Religion
    -0.43
     Extras
    -0.43
     volcano
    -0.42
     thefts
    -0.42
     Autism
    -0.42
    POSITIVE LOGITS
    omever
    0.54
    Ó
    0.52
    ÙĴ
    0.49
    ÙIJ
    0.48
    ÙĦ
    0.48
    ternal
    0.47
     teasp
    0.46
    ¯¯¯¯¯¯¯¯
    0.46
    arer
    0.45
    pei
    0.45
    Activations Density 2.457%

    No Known Activations