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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
    11. 3531
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    Explanations

    patterns or sequences of numbers and characters, potentially related to code or data

    oai_token-act-pair · gpt-3.5-turbo

    numbers and symbols related to measurements and statistics

    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
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    Negative Logits
    claw
    -0.61
    advertising
    -0.56
    clud
    -0.56
    sheets
    -0.55
    Dispatch
    -0.51
    matic
    -0.51
    onym
    -0.51
    soDeliveryDate
    -0.50
     guided
    -0.50
    Hide
    -0.49
    POSITIVE LOGITS
    ierre
    0.69
    ADRA
    0.54
    tein
    0.54
     MIA
    0.52
    reau
    0.52
    HAHA
    0.51
    loe
    0.50
     Wonderland
    0.50
    ello
    0.50
    illard
    0.50
    Activations Density 0.900%

    No Known Activations