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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. 0-RES-JB
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    Explanations

    mentions of the Gregorian calendar

    oai_token-act-pair · gpt-3.5-turbo

    references to historical contexts and the term "historian."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     chance
    -0.73
     potential
    -0.66
     channels
    -0.65
     ads
    -0.60
     subs
    -0.60
     Avalanche
    -0.60
     targeted
    -0.59
     Super
    -0.58
     ass
    -0.58
     Deal
    -0.58
    POSITIVE LOGITS
    orian
    4.93
    orians
    3.73
    orius
    1.66
    oran
    1.58
    oria
    1.53
    orical
    1.44
    oric
    1.39
    onian
    1.38
    oris
    1.38
    orean
    1.36
    Activations Density 0.007%

    No Known Activations