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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 9-RES-JB
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    Explanations

    instances of the word "species."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of various species in biological contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    dan
    -0.78
    endar
    -0.76
    pton
    -0.73
    pees
    -0.70
    ibur
    -0.69
    yna
    -0.69
    aiden
    -0.67
    ashington
    -0.66
    tainment
    -0.66
    arty
    -0.65
    POSITIVE LOGITS
     richness
    1.20
     species
    1.01
    icide
    1.01
    inctions
    1.00
    icides
    0.95
     Species
    0.93
    species
    0.93
     biologists
    0.90
     extinct
    0.90
     inhab
    0.88
    Activations Density 0.054%

    No Known Activations