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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. 2-RES-JB
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    references to the insect "bees"

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Thrust
    -0.76
     VIDEOS
    -0.76
    ories
    -0.75
     Franch
    -0.74
     Balkans
    -0.73
    ictional
    -0.71
    oaded
    -0.70
     Flavoring
    -0.70
    ORY
    -0.69
    iant
    -0.69
    POSITIVE LOGITS
     bee
    1.32
     bees
    1.11
     Bee
    1.05
    keeper
    1.02
     hive
    1.01
    bee
    0.99
    keeping
    0.99
    keepers
    0.97
    bees
    0.97
     lar
    0.89
    Activations Density 0.011%

    No Known Activations