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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 20579
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    Explanations

    verbs related to farming or agriculture

    oai_token-act-pair · gpt-3.5-turbo

    references to the act of harvesting

    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
    eq
    -0.90
    BuyableInstoreAndOnline
    -0.78
    este
    -0.73
    affer
    -0.70
    null
    -0.70
    gel
    -0.69
    azeera
    -0.68
    iazep
    -0.67
     defin
    -0.65
    xus
    -0.65
    POSITIVE LOGITS
     harvest
    1.18
     harvesting
    1.00
     harvested
    0.99
    iculture
    0.92
     Harvest
    0.88
     vines
    0.86
    é¾
    0.86
     Plants
    0.80
     berries
    0.78
     crops
    0.76
    Activations Density 0.010%

    No Known Activations