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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. 6-RES-JB
    6. 2535
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    Explanations

    introductory phrases indicating a shift in topic or a new piece of information

    oai_token-act-pair · gpt-3.5-turbo

    the word "Here" as a signal for an introduction to various topics or lists

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    existent
    -0.56
     absor
    -0.56
    Doctors
    -0.55
     Archdemon
    -0.55
     nib
    -0.55
    )].
    -0.55
     Circle
    -0.54
    mong
    -0.54
     systemd
    -0.54
     sshd
    -0.54
    POSITIVE LOGITS
    tical
    1.27
    tics
    1.26
    abouts
    1.20
    tic
    1.10
    fore
    0.82
    upon
    0.82
    after
    0.80
    yers
    0.79
     Comes
    0.77
    itia
    0.77
    Activations Density 0.034%

    No Known Activations