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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. 3-RES-JB
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    Explanations

    marine-related terms

    oai_token-act-pair · gpt-3.5-turbo

    terms related to marine ecosystems and life

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    match
    -0.81
    icken
    -0.81
    lest
    -0.80
    heimer
    -0.80
    umbs
    -0.78
    otten
    -0.78
    itzer
    -0.77
    uers
    -0.77
    GV
    -0.73
    nikov
    -0.73
    POSITIVE LOGITS
     biologist
    1.19
     mammal
    1.18
     marine
    1.12
     Fisheries
    1.10
     Mamm
    1.04
     biologists
    1.02
     mammals
    1.02
     fisheries
    0.98
    odon
    0.91
     wildlife
    0.91
    Activations Density 0.004%

    No Known Activations