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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. 3-RES-JB
    11. 5929
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    Explanations

    mentions of agriculture-related topics

    oai_token-act-pair · gpt-3.5-turbo

    references to the field of agriculture

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    affer
    -0.82
    gettable
    -0.76
    hift
    -0.74
     pont
    -0.73
    early
    -0.72
     Jenner
    -0.71
    opal
    -0.70
    olulu
    -0.68
    strap
    -0.68
     Barker
    -0.67
    POSITIVE LOGITS
    iculture
    0.86
     agriculture
    0.82
    craft
    0.75
     ministry
    0.75
     minister
    0.72
     Bihar
    0.71
     forestry
    0.68
    grain
    0.67
    icz
    0.66
     wast
    0.66
    Activations Density 0.007%

    No Known Activations