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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

    terms related to particulate matter and pollution in the environment

    oai_token-act-pair · gpt-3.5-turbo

    terms related to particulate matter and related concepts in environmental science

    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
    HCR
    -1.01
     Royale
    -0.75
     Redemption
    -0.75
     Shack
    -0.71
     Gates
    -0.70
     Carnegie
    -0.70
     Sentinel
    -0.69
     Leap
    -0.69
    isen
    -0.68
     Tycoon
    -0.66
    POSITIVE LOGITS
     partic
    1.04
    iple
    1.03
    ulates
    0.86
    ulate
    0.86
    urious
    0.82
    inent
    0.80
    ecast
    0.78
    uations
    0.76
    iosity
    0.75
    ulp
    0.75
    Activations Density 0.016%

    No Known Activations