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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. 1-RES-JB
    11. 13333
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    Explanations

    words related to serving or service

    oai_token-act-pair · gpt-3.5-turbo

    terminology related to service or serving

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     distinguishing
    -0.70
    olson
    -0.70
    orne
    -0.67
     Donetsk
    -0.66
    ucket
    -0.65
    FORE
    -0.63
     MacArthur
    -0.63
     hemp
    -0.61
    ãĥ£
    -0.61
     Kubrick
    -0.60
    POSITIVE LOGITS
    serv
    1.34
    Serv
    1.21
     Serv
    1.17
     SERV
    1.07
    maid
    1.03
     serv
    0.97
    iced
    0.96
     thous
    0.82
    itor
    0.81
    icing
    0.80
    Activations Density 0.008%

    No Known Activations