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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 2-RES-JB
    6. 4474
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    Explanations

    mammals and mammalian-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to mammals and related taxa

    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
    mar
    -0.73
    mir
    -0.73
    arters
    -0.72
    ilts
    -0.72
    fman
    -0.69
    acher
    -0.67
    ritz
    -0.66
    agher
    -0.66
    Desk
    -0.66
    demand
    -0.65
    POSITIVE LOGITS
     mammals
    1.22
     mammal
    1.13
    cules
    1.01
     carniv
    0.91
     Mamm
    0.88
     species
    0.81
     primates
    0.81
     biologists
    0.79
    oid
    0.79
    urnal
    0.79
    Activations Density 0.015%

    No Known Activations