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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. 0-RES-JB
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    INDEX
    Explanations

    mentions of the word "hay"

    oai_token-act-pair · gpt-3.5-turbo

    references to hay and manure

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Viper
    -0.76
     Panel
    -0.74
     Dial
    -0.74
    orean
    -0.73
     Korean
    -0.73
     Nikki
    -0.73
    gemony
    -0.72
     Trident
    -0.72
     Prot
    -0.71
     Yang
    -0.70
    POSITIVE LOGITS
     hay
    3.57
     manure
    2.10
     fertilizer
    1.59
     compost
    1.59
     fodder
    1.57
     pasture
    1.38
     barn
    1.18
     ranc
    1.14
     Kle
    1.11
    efe
    1.10
    Activations Density 0.049%

    No Known Activations