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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. 4-RES-JB
    11. 8487
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    Explanations

    phrases related to agricultural activities or farming practices

    oai_token-act-pair · gpt-3.5-turbo

    terms and phrases related to farming and agriculture

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

    No Comments

    Negative Logits
    umbn
    -0.85
    bley
    -0.76
    POS
    -0.76
    gettable
    -0.73
    âĿ
    -0.73
    azeera
    -0.71
    affer
    -0.70
    xus
    -0.70
    amina
    -0.68
    ĸļ
    -0.67
    POSITIVE LOGITS
     farming
    0.97
     farms
    0.91
    stead
    0.90
     labou
    0.83
     estates
    0.79
     ecology
    0.77
     farm
    0.77
     farmer
    0.76
     farmland
    0.75
     agriculture
    0.74
    Activations Density 0.014%

    No Known Activations