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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. 19506
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    Explanations

    phrases that contain the word "that" followed by a verb

    oai_token-act-pair · gpt-3.5-turbo

    requests or demands expressed in the text

    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§
    -0.86
    ãĥĦ
    -0.80
    ãĤ¨ãĥ«
    -0.74
    姫
    -0.72
    ãĥ¼ãĤ¯
    -0.71
    ãĥīãĥ©
    -0.70
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.69
    avior
    -0.67
    alt
    -0.66
    ãĥĥãĥĪ
    -0.66
    POSITIVE LOGITS
     whoever
    0.82
     we
    0.82
     they
    0.80
     everyone
    0.78
     whenever
    0.77
     visitors
    0.75
    soever
    0.75
     everybody
    0.73
     anyone
    0.72
     applicants
    0.71
    Activations Density 0.105%

    No Known Activations