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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. 4-RES-JB
    6. 2153
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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 @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     domest
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    ahu
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    edIn
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     scratched
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    arkin
    -0.56
     medieval
    -0.56
    wagen
    -0.55
     sprang
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    iami
    -0.55
     monop
    -0.54
    POSITIVE LOGITS
     RELEASE
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     IST
    0.85
    quickShipAvailable
    0.85
     PDT
    0.82
     REUTERS
    0.79
     partName
    0.78
     Retrieved
    0.77
     PST
    0.73
     UTC
    0.70
     Authorization
    0.70
    Activations Density 0.229%

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