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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. 3-RES-JB
    11. 17430
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    Explanations

    names of individuals, specifically "Owen" and "Liz"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Owen" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pmwiki
    -0.84
    icago
    -0.80
    trak
    -0.73
     privile
    -0.69
    ãĥķãĤ©
    -0.66
     deport
    -0.66
    ãĥ¥
    -0.63
    gio
    -0.62
     exch
    -0.61
    intent
    -0.61
    POSITIVE LOGITS
     Owen
    1.27
    bridge
    0.95
     Ree
    0.94
     Farrell
    0.84
    loo
    0.77
    okia
    0.77
    swick
    0.75
    emouth
    0.73
    ette
    0.72
    bean
    0.72
    Activations Density 0.016%

    No Known Activations