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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. 5-RES-JB
    6. 12651
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    Explanations

    prompts asking users to click on specific elements or buttons on a webpage

    oai_token-act-pair · gpt-3.5-turbo

    actions related to clicking buttons or links in digital content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ngth
    -0.80
    lycer
    -0.70
    ilic
    -0.69
    ufact
    -0.68
    angering
    -0.67
    udeb
    -0.66
    contained
    -0.62
    noon
    -0.62
    ensical
    -0.62
    church
    -0.61
    POSITIVE LOGITS
     button
    1.12
     buttons
    0.96
    ĵĺ
    0.77
     slider
    0.73
     accelerator
    0.73
     zoom
    0.72
     switches
    0.71
     arrow
    0.71
     tab
    0.71
     arrows
    0.71
    Activations Density 0.087%

    No Known Activations