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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
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    oai_token-act-pair · gpt-3.5-turbo
    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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    Negative Logits
    »Ĵ
    -0.77
    è¦ļéĨĴ
    -0.64
     Gleaming
    -0.64
    folk
    -0.60
    buster
    -0.59
    ĪĴ
    -0.57
    escription
    -0.55
    owl
    -0.54
    ription
    -0.54
    nova
    -0.54
    POSITIVE LOGITS
     Below
    0.85
     BELOW
    0.75
     âĨĴ
    0.65
     ARTICLE
    0.63
     POLITICO
    0.62
    below
    0.62
     below
    0.61
     isEnabled
    0.59
    arre
    0.58
     }
    0.57
    Activations Density 0.012%

    No Known Activations