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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. 4-RES-JB
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    Explanations

    occurrences of the phrase "Papal visit" or variants of it

    oai_token-act-pair · gpt-3.5-turbo

    references to the papacy and its officials

    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
    ENE
    -0.76
    ascade
    -0.71
     Crow
    -0.71
    nesota
    -0.70
     Esk
    -0.69
     Haw
    -0.69
     NP
    -0.69
     Cree
    -0.68
     Wong
    -0.65
    APE
    -0.65
    POSITIVE LOGITS
    Pope
    0.98
    Franc
    0.95
     pronounce
    0.91
     pope
    0.88
     preached
    0.84
     presided
    0.84
     XVI
    0.82
    bishop
    0.81
     scripture
    0.81
     pard
    0.80
    Activations Density 0.050%

    No Known Activations