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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. 7044
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    oai_token-act-pair · gpt-3.5-turbo

    phrases related to sensitive or classified information

    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
    ESPN
    -0.75
    KK
    -0.71
    hedon
    -0.71
    IDE
    -0.69
    Amb
    -0.68
    oland
    -0.67
    Adv
    -0.67
    aii
    -0.66
    ype
    -0.66
    ulo
    -0.65
    POSITIVE LOGITS
     whereabouts
    1.20
     upcoming
    0.95
     how
    0.93
     impending
    0.88
     transfers
    0.76
     deceased
    0.76
     individuals
    0.75
     forthcoming
    0.75
     transactions
    0.75
     pending
    0.74
    Activations Density 0.205%

    No Known Activations