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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. 1-RES-JB
    11. 18036
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    Explanations

    mentions of presentations or talks

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "presentation."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    apped
    -0.78
    leans
    -0.69
    kowski
    -0.68
     solitary
    -0.67
     ILCS
    -0.66
    cil
    -0.64
    Lago
    -0.62
    redit
    -0.62
    olen
    -0.62
    lean
    -0.61
    POSITIVE LOGITS
     presentations
    1.35
     presentation
    1.32
    ocument
    0.96
    eering
    0.95
     slides
    0.93
     Present
    0.88
    natureconservancy
    0.82
    tion
    0.82
    emonium
    0.78
     Thumbnails
    0.77
    Activations Density 0.010%

    No Known Activations