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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. 11-RES-JB
    11. 2104
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    Explanations

    descriptions of food production methods and ingredients

    oai_token-act-pair · gpt-3.5-turbo

    topics related to organic and natural food production

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Anger
    -0.80
    watching
    -0.77
    iazep
    -0.77
    rontal
    -0.72
    >[
    -0.71
     yawn
    -0.70
     Slide
    -0.70
     Speech
    -0.69
     Panic
    -0.68
    ipolar
    -0.66
    POSITIVE LOGITS
     sourced
    1.44
     harvested
    1.43
     imported
    1.26
     ingredients
    1.22
     cultured
    1.21
     fermented
    1.21
     artisan
    1.18
     exported
    1.17
     certified
    1.16
     purified
    1.15
    Activations Density 0.506%

    No Known Activations