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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

    references to carbon-related terms

    oai_token-act-pair · gpt-3.5-turbo

    mentions of carbon dioxide

    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
    ":["
    -0.80
    DragonMagazine
    -0.79
    udeb
    -0.77
     CLSID
    -0.76
    DEP
    -0.74
    Fram
    -0.71
    endor
    -0.70
     Shapiro
    -0.68
    ---------------
    -0.67
    sym
    -0.67
    POSITIVE LOGITS
     dioxide
    1.52
     carbon
    1.06
     emissions
    1.05
     fibre
    1.00
    carbon
    0.94
     nitrogen
    0.92
     emission
    0.92
     gases
    0.92
    ohydrate
    0.91
     fiber
    0.91
    Activations Density 0.008%

    No Known Activations