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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 uranium and nuclear energy

    oai_token-act-pair · gpt-3.5-turbo

    references to uranium and plutonium in the context of nuclear energy and weaponry

    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
    ORD
    -0.81
    haw
    -0.78
    ¶ħ
    -0.76
    alach
    -0.71
    BOOK
    -0.71
    hew
    -0.70
     Predict
    -0.69
    imov
    -0.68
    LOS
    -0.68
    Unknown
    -0.68
    POSITIVE LOGITS
     uranium
    1.32
     oxide
    1.17
     enrichment
    1.10
    mining
    1.06
     mines
    1.04
     mining
    0.99
     ore
    0.96
     Uran
    0.95
     mined
    0.92
     dioxide
    0.89
    Activations Density 0.007%

    No Known Activations