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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. 20281
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    Explanations

    Alarms or emergency situations

    oai_token-act-pair · gpt-3.5-turbo

    instances of significant events or actions happening

    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
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    Negative Logits
     whilst
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     util
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     scept
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     organising
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     organis
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     £
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     ageing
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     analogue
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     Whilst
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    utical
    -0.68
    POSITIVE LOGITS
    CLOSE
    0.83
     deadliest
    0.74
    ___
    0.72
    SHARE
    0.70
    SIGN
    0.70
    Bus
    0.68
     Related
    0.68
    Contribut
    0.68
    PHOTOS
    0.66
    Gov
    0.66
    Activations Density 0.315%

    No Known Activations