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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. 8-RES-JB
    11. 5089
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    Explanations

    phrases containing programming code and technical terms

    oai_token-act-pair · gpt-3.5-turbo

    references to processed foods and health-related topics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    emo
    -0.89
    yip
    -0.84
    Downloadha
    -0.82
    cffff
    -0.80
    igg
    -0.78
    âĸĪâĸĪâĸĪâĸĪâĸĪâĸĪâĸĪâĸĪ
    -0.78
    ucks
    -0.78
    anish
    -0.77
    hots
    -0.76
    iren
    -0.75
    POSITIVE LOGITS
     Section
    1.03
     Chapter
    1.02
     section
    1.02
     subclass
    1.02
     SECTION
    0.98
     segment
    0.98
     Phase
    0.98
     module
    0.97
     phase
    0.96
     sections
    0.93
    Activations Density 0.287%

    No Known Activations