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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. 3-RES-JB
    11. 17312
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    Explanations

    phrases indicating a specific time period or duration

    oai_token-act-pair · gpt-3.5-turbo

    references to time frames or specific durations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     buff
    -0.69
     rag
    -0.67
     Genie
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     mer
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     por
    -0.64
     purse
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     devil
    -0.62
    nee
    -0.62
    ãĥĵ
    -0.62
    alian
    -0.62
    POSITIVE LOGITS
    terness
    0.90
    ¥ŀ
    0.89
    isine
    0.84
    ieth
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    atform
    0.83
    eteen
    0.81
     Seconds
    0.80
    ths
    0.78
    ĵĺ
    0.75
    ļé
    0.75
    Activations Density 0.017%

    No Known Activations