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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. 4-RES-JB
    11. 19670
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    Explanations

    terms related to specific nutrients

    oai_token-act-pair · gpt-3.5-turbo

    references to essential nutrients and their impact on health

    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
    kus
    -0.90
    zel
    -0.82
    heed
    -0.80
    eteenth
    -0.80
    ney
    -0.76
    ned
    -0.75
    olin
    -0.74
    stru
    -0.74
    ofi
    -0.74
    stad
    -0.73
    POSITIVE LOGITS
     creek
    0.81
     groundwater
    0.79
     Corridor
    0.77
     nutrients
    0.75
     flooding
    0.75
     richness
    0.74
    density
    0.73
     density
    0.73
     corridor
    0.72
     rivers
    0.71
    Activations Density 0.024%

    No Known Activations