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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

    mentions of the word "Swiss"

    oai_token-act-pair · gpt-3.5-turbo

    references to Switzerland and Swiss entities

    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
    bably
    -0.83
    transform
    -0.71
    regor
    -0.70
     abund
    -0.69
    LEASE
    -0.68
    pse
    -0.68
    osite
    -0.68
    onies
    -0.66
    oples
    -0.66
    nces
    -0.65
    POSITIVE LOGITS
     franc
    0.93
    istani
    0.87
     Franc
    0.86
     Chal
    0.86
     Alps
    0.84
    oslov
    0.82
     Confederation
    0.82
     Cheese
    0.79
     nationals
    0.79
     cheese
    0.72
    Activations Density 0.007%

    No Known Activations