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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. 0-RES-JB
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    Explanations

    mentions of various species of animals

    oai_token-act-pair · gpt-3.5-turbo

    mentions of various species, particularly in the context of conservation and biodiversity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    leeve
    -0.67
     Jail
    -0.66
     Gilmore
    -0.65
    neys
    -0.64
    TD
    -0.63
    Wallet
    -0.62
    raine
    -0.61
    oday
    -0.60
     Behind
    -0.59
    hall
    -0.59
    POSITIVE LOGITS
     species
    3.67
     Species
    2.87
    species
    2.84
     genus
    2.14
     breed
    1.57
     organisms
    1.57
     mammal
    1.53
     breeds
    1.49
     habitat
    1.49
     organism
    1.49
    Activations Density 0.023%

    No Known Activations