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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. 13576
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    Explanations

    specific types or varieties of items

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of plant or crop varieties

    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
    vernment
    -0.79
    neapolis
    -0.69
    vent
    -0.66
    minent
    -0.65
    ohan
    -0.63
    duct
    -0.62
    enture
    -0.62
     Payments
    -0.61
    boa
    -0.61
    cester
    -0.60
    POSITIVE LOGITS
     varieties
    0.99
     strains
    0.91
     variants
    0.85
    rait
    0.84
    otypes
    0.80
    otype
    0.79
    etting
    0.77
     allele
    0.75
     thereof
    0.75
     bred
    0.74
    Activations Density 0.047%

    No Known Activations