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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
    11. 20392
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    Explanations

    mentions of automobile parts, specifically bumpers

    oai_token-act-pair · gpt-3.5-turbo

    references to vehicle bumpers

    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
    ulu
    -0.79
    oyer
    -0.76
    aves
    -0.75
    itutional
    -0.72
     Lauder
    -0.70
    zar
    -0.69
    omen
    -0.68
    aldo
    -0.67
    lement
    -0.67
    uct
    -0.67
    POSITIVE LOGITS
     bumper
    1.16
     sticker
    1.14
     stickers
    0.99
    stick
    0.88
    boards
    0.83
     wip
    0.83
    sticks
    0.79
    whe
    0.78
     bump
    0.71
     tyre
    0.71
    Activations Density 0.016%

    No Known Activations