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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. 9-RES-JB
    11. 2553
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    Explanations

    expressions of astonishment and admiration

    oai_token-act-pair · gpt-3.5-turbo
    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
    Contents
    -0.83
    lication
    -0.78
     srfAttach
    -0.75
    isSpecialOrderable
    -0.73
    SPONSORED
    -0.73
    Ń·
    -0.72
    inction
    -0.70
    ãĤ¢ãĥ«
    -0.70
    soever
    -0.69
    Additionally
    -0.67
    POSITIVE LOGITS
     smells
    0.92
     forgot
    0.86
     gotta
    0.86
     huh
    0.83
    oooooooo
    0.82
    !!
    0.80
     sounds
    0.79
    eeee
    0.78
    oooo
    0.77
    !]
    0.76
    Activations Density 0.271%

    No Known Activations