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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
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    Explanations

    mentions of mammalian animals

    oai_token-act-pair · gpt-3.5-turbo

    terms related to mammals and their classification

    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
    Not in Any Lists

    No Comments

    Negative Logits
    mar
    -0.78
    mir
    -0.72
    fman
    -0.68
    pipe
    -0.67
    nee
    -0.67
    dule
    -0.66
    adding
    -0.65
    ilts
    -0.65
    demand
    -0.63
    ful
    -0.63
    POSITIVE LOGITS
     mammals
    1.40
     mammal
    1.26
     carniv
    0.95
    urnal
    0.95
    cules
    0.91
     reptiles
    0.91
    brates
    0.90
     Mamm
    0.88
     primates
    0.86
     biologists
    0.85
    Activations Density 0.013%

    No Known Activations