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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. 15526
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    Explanations

    animals

    oai_token-act-pair · gpt-3.5-turbo

    animal names or references to mythical creatures

    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
    pring
    -0.84
    oppable
    -0.82
    uries
    -0.77
    rity
    -0.77
    ources
    -0.74
    everal
    -0.73
    kaya
    -0.72
    idges
    -0.72
    poons
    -0.72
    ometimes
    -0.72
    POSITIVE LOGITS
    fish
    1.16
     carc
    1.05
     hunter
    1.03
     beetle
    1.03
     crab
    0.90
     mascot
    0.89
     shark
    0.87
     hunts
    0.86
     catcher
    0.86
     corpse
    0.86
    Activations Density 0.085%

    No Known Activations