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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 332
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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 @ 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
    Not in Any Lists

    No Comments

    Negative Logits
     cc
    -0.62
     prest
    -0.61
    .*
    -0.60
     internationally
    -0.53
    (*
    -0.53
     medi
    -0.53
    /,
    -0.52
    â̦.
    -0.52
    /"
    -0.52
    ecd
    -0.52
    POSITIVE LOGITS
     Tradable
    0.83
     ]
    0.78
     ):
    0.77
     ][
    0.75
     ));
    0.69
     )))
    0.68
    actionDate
    0.68
     );
    0.68
     )
    0.67
     Amount
    0.66
    Activations Density 0.182%

    No Known Activations