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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 15797
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    Explanations

    the word "nothing" followed by phrases indicating a lack of specific qualities or characteristics

    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize the absence or lack of something

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    ebin
    -0.76
    anos
    -0.76
    odan
    -0.73
    ahime
    -0.71
    eda
    -0.71
    ATIONS
    -0.70
    vale
    -0.70
    agna
    -0.69
     Pastebin
    -0.69
    querade
    -0.68
    POSITIVE LOGITS
     wrong
    1.21
     inherently
    1.13
     stopping
    1.11
     intrinsically
    1.01
     else
    0.98
     objectionable
    0.94
     nefarious
    0.92
     preventing
    0.91
     shameful
    0.91
     unusual
    0.86
    Activations Density 0.050%

    No Known Activations