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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 2-RES-JB
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    Explanations

    terms related to agriculture and farming practices

    oai_token-act-pair · gpt-3.5-turbo

    references to agricultural products, specifically various types of crops

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    trak
    -0.84
    gettable
    -0.83
    deen
    -0.76
    iq
    -0.67
    oÄŁ
    -0.66
    aditional
    -0.65
    chieve
    -0.64
    zbek
    -0.64
    ĺħ
    -0.63
    llah
    -0.63
    POSITIVE LOGITS
     crops
    1.26
     growers
    0.94
     plants
    0.86
     planted
    0.83
     harvest
    0.82
     pests
    0.81
    beans
    0.80
    seed
    0.80
     irrig
    0.78
    grain
    0.75
    Activations Density 0.021%

    No Known Activations