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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. 11-RES-JB
    11. 14230
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    Explanations

    phrases or words indicating enjoyment or pleasure

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soDeliveryDate
    -0.87
     scrimmage
    -0.71
    ©¶æ
    -0.67
    pers
    -0.65
    OLOGY
    -0.64
    DragonMagazine
    -0.63
    gments
    -0.63
    acist
    -0.62
     mater
    -0.61
     externalToEVAOnly
    -0.61
    POSITIVE LOGITS
     watching
    1.19
     enjoying
    1.00
     browsing
    0.97
     seeing
    0.94
    ably
    0.94
     chatting
    0.93
     playing
    0.90
     reading
    0.90
     listening
    0.89
     hearing
    0.88
    Activations Density 0.082%

    No Known Activations