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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. 20665
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    Explanations

    mentions of technology related to mobile app development and Android operating system

    oai_token-act-pair · gpt-3.5-turbo

    references to XML and Android-related content

    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
    atures
    -0.81
    airs
    -0.81
    izzard
    -0.80
    rike
    -0.77
    urers
    -0.77
     paran
    -0.76
    ivism
    -0.76
    akening
    -0.75
    krit
    -0.73
    keeper
    -0.73
    POSITIVE LOGITS
     XML
    0.70
    00200000
    0.69
     Kush
    0.68
     Adin
    0.67
     Coyotes
    0.66
     xml
    0.65
     Holo
    0.64
    ragon
    0.64
     Zur
    0.64
    beans
    0.61
    Activations Density 0.024%

    No Known Activations