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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 17500
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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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    No Comments

    Negative Logits
    Redditor
    -0.80
    depend
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     Abram
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    âķIJâķIJ
    -0.60
     differe
    -0.60
    lain
    -0.58
    milo
    -0.57
    nder
    -0.57
    qus
    -0.56
    iors
    -0.54
    POSITIVE LOGITS
    )'
    1.02
    )—
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    )--
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    )"
    0.85
    )|
    0.84
    )-
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    )
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    ),"
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    )]
    0.80
    agascar
    0.78
    Activations Density 0.029%

    No Known Activations