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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
    11. 10964
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    mentions of achievements or accomplishments

    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
     Boards
    -0.76
     processes
    -0.72
    agate
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    nel
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    ulhu
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    soDeliveryDate
    -0.64
    ESE
    -0.62
     mosqu
    -0.62
    idth
    -0.61
    eki
    -0.60
    POSITIVE LOGITS
     ire
    0.96
     notoriety
    0.87
     renown
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     nickname
    0.83
     coveted
    0.81
     à¤
    0.78
     accol
    0.76
     berth
    0.75
    tesy
    0.71
     moniker
    0.69
    Activations Density 0.132%

    No Known Activations