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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 11523
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    INDEX
    Explanations

    references to laughter and comedic situations

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases related to laughter and humor

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tnc
    -0.76
    pled
    -0.74
    interstitial
    -0.68
    pora
    -0.64
     Components
    -0.63
    ctr
    -0.60
    holder
    -0.60
    earcher
    -0.59
     administrative
    -0.58
     particulars
    -0.58
    POSITIVE LOGITS
     hyster
    1.28
     uproar
    1.14
     maniac
    1.10
    ably
    1.08
     aloud
    1.03
     nervously
    1.01
     uncontroll
    0.97
     loudly
    0.93
    ingly
    0.87
    stocks
    0.86
    Activations Density 0.037%

    No Known Activations