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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
    11. 13260
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    Explanations

    phrases related to agricultural activities or practices

    oai_token-act-pair · gpt-3.5-turbo

    references to farming practices and related topics

    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
     Schwarz
    -0.72
    Stars
    -0.69
    ç
    -0.66
    CVE
    -0.65
    isson
    -0.64
     SAT
    -0.64
    asc
    -0.63
    unk
    -0.63
     Omar
    -0.63
    ety
    -0.63
    POSITIVE LOGITS
     farming
    3.70
     Farming
    2.68
     agriculture
    2.11
     farm
    2.04
     farms
    2.01
     farmer
    1.91
    Farm
    1.90
     farmers
    1.84
    farm
    1.76
     gardening
    1.72
    Activations Density 0.010%

    No Known Activations