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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. 14825
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    oai_token-act-pair · gpt-3.5-turbo

    phrases related to technology and digital services

    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
    rition
    -0.62
    fortunately
    -0.61
     afterward
    -0.60
    actionDate
    -0.59
     assures
    -0.59
    ĪĴ
    -0.59
     inexper
    -0.59
    Additionally
    -0.59
    )*
    -0.57
    Story
    -0.55
    POSITIVE LOGITS
     eleph
    0.63
    avorite
    0.61
     Kazakh
    0.60
     Bulgarian
    0.60
     surfing
    0.59
     Icelandic
    0.59
     Bulgar
    0.59
     graphene
    0.59
     toilets
    0.57
     Bulldogs
    0.57
    Activations Density 1.628%

    No Known Activations