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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. 3-RES-JB
    11. 13463
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    Explanations

    phrases instructing or encouraging enjoyment or consumption of something

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "enjoy" and its variations in different contexts related to positive experiences or activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ural
    -0.77
    pled
    -0.65
     scrimmage
    -0.64
    heed
    -0.61
    iron
    -0.61
     carriers
    -0.61
     antagonist
    -0.61
    sil
    -0.61
     unwitting
    -0.59
    amm
    -0.59
    POSITIVE LOGITS
    lihood
    0.97
     Enjoy
    0.97
    nels
    0.92
     enjoy
    0.88
     enjoying
    0.86
     enjoyed
    0.86
    ably
    0.84
     enjoys
    0.84
    Enjoy
    0.83
     enjoyment
    0.83
    Activations Density 0.018%

    No Known Activations