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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. 7-RES-JB
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    Explanations

    mentions of the term "Resident Evil"

    oai_token-act-pair · gpt-3.5-turbo

    references to the "Resident Evil" video game franchise

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    AAF
    -0.81
    arrell
    -0.79
    anson
    -0.78
    anwhile
    -0.78
    displayText
    -0.76
    lda
    -0.76
    awaru
    -0.75
    enic
    -0.75
    enegger
    -0.74
    itudes
    -0.72
    POSITIVE LOGITS
     halls
    0.81
     Evil
    0.80
     Wage
    0.77
    hips
    0.77
    Reviewer
    0.73
    ially
    0.70
     Terror
    0.69
     Resident
    0.69
    igi
    0.69
     hall
    0.69
    Activations Density 0.029%

    No Known Activations