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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 4-RES-JB
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    Explanations

    mentions of the element uranium

    oai_token-act-pair · gpt-3.5-turbo

    terms related to uranium and its use in nuclear energy and weapons

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

    No Comments

    Negative Logits
    ¶ħ
    -0.77
     Isles
    -0.76
    haw
    -0.75
    alach
    -0.72
    ORD
    -0.72
     Sparrow
    -0.72
     Carroll
    -0.69
     Carney
    -0.69
     Foley
    -0.69
    Seattle
    -0.68
    POSITIVE LOGITS
     uranium
    1.27
     oxide
    1.13
    mining
    1.12
     enrichment
    1.11
     mines
    1.09
     mining
    0.99
     ore
    0.98
     mined
    0.94
     Uran
    0.91
    mine
    0.89
    Activations Density 0.008%

    No Known Activations