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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. 8-RES-JB
    11. 121
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    Explanations

    references to news conferences

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "news conference"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hetti
    -0.90
     comma
    -0.68
    ength
    -0.64
    regor
    -0.64
     habitable
    -0.63
    uate
    -0.63
    thal
    -0.63
    pired
    -0.62
     Mississ
    -0.62
    asse
    -0.62
    POSITIVE LOGITS
    worthy
    1.06
    agency
    1.06
    reader
    1.02
    agent
    1.00
    flash
    1.00
    room
    1.00
    groups
    0.97
    feed
    0.95
    agents
    0.94
    group
    0.94
    Activations Density 0.030%

    No Known Activations