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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. 6-RES-JB
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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 @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     guiName
    -0.82
    ":[{"
    -0.70
    ":{"
    -0.66
    oaded
    -0.61
    .<
    -0.61
    EMOTE
    -0.61
     "$:/
    -0.61
    etheless
    -0.59
     withd
    -0.58
    wcs
    -0.57
    POSITIVE LOGITS
    )]
    1.65
    )
    1.61
    ),
    1.58
    )"
    1.56
    âĢ¦)
    1.53
    ).
    1.53
    )}
    1.49
     )]
    1.49
    )."
    1.46
    ),"
    1.45
    Activations Density 0.746%

    No Known Activations