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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
    6. 7624
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    Explanations

    mentions of helmets in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to helmets

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Dull
    -0.71
     Bulletin
    -0.69
     Radical
    -0.68
     Pulitzer
    -0.68
    VD
    -0.67
    tery
    -0.66
    tle
    -0.66
    âĸĪâĸĪâĸĪâĸĪâĸĪâĸĪâĸĪâĸĪ
    -0.65
     ABE
    -0.65
     Relations
    -0.64
    POSITIVE LOGITS
     helmet
    1.15
     helmets
    1.14
     Helmet
    0.97
     worn
    0.96
     goggles
    0.90
     wearer
    0.83
     headset
    0.77
     mask
    0.75
     sunglasses
    0.75
    lain
    0.70
    Activations Density 0.010%

    No Known Activations