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    1. Home
    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. 5323
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    Explanations

    references to a specific person's name, "Kurt"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of a specific character or name, primarily "Burt."

    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
    TIME
    -0.75
     resil
    -0.69
     derog
    -0.66
    hare
    -0.65
    perty
    -0.65
    phones
    -0.65
     resemb
    -0.61
    phone
    -0.60
     Cage
    -0.60
    History
    -0.59
    POSITIVE LOGITS
    iev
    1.09
    osis
    0.85
    leneck
    0.81
    ucky
    0.80
    zman
    0.80
     Angle
    0.78
    imus
    0.78
    inyl
    0.78
    ilage
    0.77
    rier
    0.77
    Activations Density 0.023%

    No Known Activations