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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
    11. 11348
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    Explanations

    scientific and environmental terms related to ecosystems, animals, and habitats, such as terrestrial, aquatic, amphibian, reptilian, and freshwater

    oai_token-act-pair · gpt-3.5-turbo

    terms related to terrestrial, amphibious, and aquatic life forms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    ayer
    -0.81
    URI
    -0.72
    iner
    -0.72
    inates
    -0.71
    Recommend
    -0.69
     Twain
    -0.67
     rabbi
    -0.67
     âľĵ
    -0.67
    Applic
    -0.66
    advertising
    -0.66
    POSITIVE LOGITS
    brate
    1.03
     mammal
    1.00
    brates
    1.00
     mammals
    1.00
     aquatic
    0.95
     carniv
    0.94
     verte
    0.90
     amphib
    0.89
     mammalian
    0.88
     reptiles
    0.88
    Activations Density 0.031%

    No Known Activations