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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 618
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    Explanations

    references to traditional folk-related elements such as tales, songs, or legends

    oai_token-act-pair · gpt-3.5-turbo

    references to folk culture and tales

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    xus
    -0.75
    isites
    -0.68
    xual
    -0.68
    Effective
    -0.64
    aturday
    -0.61
     RED
    -0.61
     barrel
    -0.61
     Rack
    -0.61
    ackers
    -0.61
     Telescope
    -0.61
    POSITIVE LOGITS
    lore
    1.41
    tale
    1.24
    lor
    1.21
    folk
    1.15
     tales
    0.98
    estone
    0.91
    mere
    0.88
     tale
    0.87
    worker
    0.86
    endor
    0.85
    Activations Density 0.029%

    No Known Activations