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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. 2-RES-JB
    11. 24167
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    Explanations

    references to or mentions of the word "Lyon"

    oai_token-act-pair · gpt-3.5-turbo

    references to the city of Lyon and related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Cand
    -0.77
    pps
    -0.75
    âĢķ
    -0.70
     Debor
    -0.69
    pent
    -0.69
    ppers
    -0.68
    avorite
    -0.68
    icter
    -0.67
    ffer
    -0.64
    oru
    -0.64
    POSITIVE LOGITS
    bell
    0.75
    uate
    0.75
    uations
    0.70
    IGHTS
    0.70
    anwhile
    0.70
    tein
    0.69
    uating
    0.68
     Genie
    0.68
    OWER
    0.67
    opez
    0.67
    Activations Density 0.033%

    No Known Activations