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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. 4-RES-JB
    11. 8461
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to specific parks and recreational areas

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

    No Comments

    Negative Logits
    jad
    -0.73
    ients
    -0.71
    ded
    -0.70
     diagnosis
    -0.68
    oldemort
    -0.67
    rates
    -0.61
     diagnoses
    -0.61
    iating
    -0.59
    verages
    -0.59
    iations
    -0.59
    POSITIVE LOGITS
    conservancy
    1.03
    manship
    0.96
    afety
    0.88
    creen
    0.83
    mallow
    0.83
    cape
    0.81
    crew
    0.79
    itect
    0.76
    erver
    0.76
    chwitz
    0.75
    Activations Density 0.012%

    No Known Activations