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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. 10309
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    Explanations

    names, particularly the name "Tyler"

    oai_token-act-pair · gpt-3.5-turbo

    the name "Tyler" 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
    ãĤ¦ãĤ¹
    -0.88
    ãĥīãĥ©
    -0.78
    itarian
    -0.72
    bing
    -0.70
    inators
    -0.70
    circ
    -0.69
    relevant
    -0.69
    ulator
    -0.68
    fm
    -0.68
    iners
    -0.67
    POSITIVE LOGITS
     Wink
    1.00
     Shields
    0.80
     Vaugh
    0.80
     Tyler
    0.79
     Adams
    0.77
     Cow
    0.76
     Haley
    0.75
     Ul
    0.72
     Bridges
    0.72
     Bree
    0.70
    Activations Density 0.048%

    No Known Activations