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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. 9-RES-JB
    11. 13693
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    Explanations

    references to specific objects, items, or products

    oai_token-act-pair · gpt-3.5-turbo

    references to superheroes or costume-related themes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    chens
    -0.63
     analysts
    -0.58
     attrition
    -0.58
     administrators
    -0.58
    esters
    -0.57
     miscar
    -0.56
    urches
    -0.56
     constituencies
    -0.56
    hov
    -0.56
     geographically
    -0.56
    POSITIVE LOGITS
     logo
    0.96
     badge
    0.95
     necklace
    0.83
     stickers
    0.81
     salute
    0.80
     souven
    0.80
     kit
    0.79
     cassette
    0.79
     bracelet
    0.78
    prints
    0.78
    Activations Density 0.941%

    No Known Activations