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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. 9-RES-JB
    6. 12584
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    INDEX
    Explanations

    phrases involving quotations or reported speech

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "saying" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    xtap
    -0.81
     outp
    -0.62
     overfl
    -0.62
    sten
    -0.60
    estern
    -0.60
    gotten
    -0.59
    jer
    -0.57
    pes
    -0.56
     Written
    -0.56
     Armored
    -0.55
    POSITIVE LOGITS
     goodbye
    1.50
     hello
    1.03
     Goodbye
    0.98
     farewell
    0.95
     sorry
    0.93
     aloud
    0.87
     "â̦
    0.80
     that
    0.80
    ieu
    0.79
    :"
    0.79
    Activations Density 0.122%

    No Known Activations