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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. 0-RES-JB
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    Explanations

    the word "mumm" or variations of it

    oai_token-act-pair · gpt-3.5-turbo

    the exclamation "umm" and related fillers in conversation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Front
    -0.70
     tower
    -0.64
     promotion
    -0.61
     CAP
    -0.61
     prevention
    -0.61
     cape
    -0.60
     GP
    -0.60
     join
    -0.60
     detection
    -0.60
     fountain
    -0.60
    POSITIVE LOGITS
    umm
    4.42
    ummies
    1.69
    ummy
    1.45
    um
    1.25
    UM
    1.25
    umo
    1.17
    ums
    1.16
    unn
    1.09
    ramer
    1.07
     Cumm
    1.00
    Activations Density 0.011%

    No Known Activations