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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. 4-RES-JB
    11. 11426
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    Explanations

    puns

    oai_token-act-pair · gpt-3.5-turbo

    instances of puns in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Empires
    -0.77
     Covenant
    -0.71
     Commons
    -0.69
    è£ħ
    -0.67
     Journals
    -0.65
    éļ
    -0.65
     Consent
    -0.65
     Aurora
    -0.64
    IDA
    -0.64
     Centauri
    -0.64
    POSITIVE LOGITS
    isher
    1.11
    ishers
    1.06
    pun
    0.96
    ting
    0.93
     pun
    0.91
    tering
    0.90
    ter
    0.90
    ters
    0.88
    cheon
    0.88
    ball
    0.87
    Activations Density 0.008%

    No Known Activations