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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. 1-RES-JB
    11. 10464
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    Explanations

    mentions of helmets

    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 @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Dull
    -0.76
     Bulletin
    -0.73
    tle
    -0.71
    tery
    -0.70
     Radical
    -0.68
    Attempts
    -0.68
    VD
    -0.68
    via
    -0.67
    bidden
    -0.66
    âĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢ
    -0.66
    POSITIVE LOGITS
     helmet
    1.25
     helmets
    1.20
     Helmet
    1.11
     worn
    0.90
    lain
    0.88
    oided
    0.79
     armour
    0.77
     disg
    0.77
     wearer
    0.77
     goggles
    0.76
    Activations Density 0.009%

    No Known Activations