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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. 9297
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    Explanations

    phrases related to large quantities or numbers

    oai_token-act-pair · gpt-3.5-turbo

    references to large quantities or amounts of things

    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
    Blade
    -0.74
     Seat
    -0.65
    Asset
    -0.65
     Salem
    -0.63
    stown
    -0.63
     Doodle
    -0.63
     Battlefield
    -0.62
     Rahman
    -0.62
     Ridley
    -0.61
    Knight
    -0.61
    POSITIVE LOGITS
    omething
    1.15
     amounts
    1.13
    ngth
    1.10
    poons
    1.04
     quantities
    0.99
    hots
    0.97
    cale
    0.96
    ensical
    0.95
    pace
    0.94
    aces
    0.93
    Activations Density 0.024%

    No Known Activations