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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
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    Explanations

    names or words related to the name "Wan"

    oai_token-act-pair · gpt-3.5-turbo

    the name "Wan" mentioned in various contexts

    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
     practicable
    -0.72
     leaflets
    -0.71
     predictive
    -0.71
     clustered
    -0.68
     liability
    -0.68
     imperative
    -0.66
    £ı
    -0.66
     mileage
    -0.64
     nep
    -0.64
    ttle
    -0.63
    POSITIVE LOGITS
    wan
    1.09
    igan
    1.08
    igans
    1.07
     Kenobi
    1.03
    athan
    1.02
    hao
    1.01
    wu
    1.00
    awan
    0.95
    nee
    0.94
    loo
    0.92
    Activations Density 0.012%

    No Known Activations