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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    Explanations

    references to the plant "hemp."

    oai_token-act-pair · gpt-3.5-turbo

    references to industrial hemp and its applications

    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
    oice
    -0.77
     Debor
    -0.73
     Naj
    -0.69
     Barcl
    -0.66
    ifice
    -0.66
    ROR
    -0.65
     Aval
    -0.65
    ror
    -0.64
    upt
    -0.64
    ysis
    -0.63
    POSITIVE LOGITS
     hemp
    1.31
     Hemp
    1.30
    stead
    1.18
    seed
    0.85
    leaf
    0.84
    weed
    0.83
     farming
    0.82
    beans
    0.82
     Farming
    0.81
     fibre
    0.81
    Activations Density 0.005%

    No Known Activations