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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. 11323
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    Explanations

    underwater and mythical creatures such as dragons and whales

    oai_token-act-pair · gpt-3.5-turbo

    specific animal references, particularly related to mythical creatures and marine life

    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
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    No Comments

    Negative Logits
    uries
    -0.96
    rity
    -0.87
    rogens
    -0.83
    pring
    -0.80
    ensable
    -0.77
     Elections
    -0.76
    avers
    -0.75
    laus
    -0.75
    erenn
    -0.74
    itters
    -0.73
    POSITIVE LOGITS
     hunter
    1.01
     hunts
    0.85
     shark
    0.84
     gorilla
    0.83
     fisher
    0.82
     beetle
    0.82
     crab
    0.80
    fish
    0.78
     miner
    0.75
     frog
    0.75
    Activations Density 0.035%

    No Known Activations