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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. 16450
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    Not in Any Lists

    No Comments

    Negative Logits
     footing
    -0.60
    ighth
    -0.56
    hement
    -0.56
     observer
    -0.56
     asymm
    -0.55
    ction
    -0.55
     experien
    -0.54
     inform
    -0.53
     Mas
    -0.53
     Ney
    -0.53
    POSITIVE LOGITS
    arta
    0.73
    Lear
    0.72
    ë
    0.72
    ↵
    0.71
    Iv
    0.69
     Appears
    0.68
    ³³³
    0.67
    za
    0.66
     Norn
    0.65
    ³³³³³³³³³³³³³³³³
    0.64
    Activations Density 0.143%

    No Known Activations