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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. 20917
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    Explanations

    requests for citations.s for legal or factual verifications in documents

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating requirements or necessities

    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
    imore
    -0.68
    brook
    -0.67
    gdala
    -0.67
    bow
    -0.66
    washer
    -0.65
    oller
    -0.65
    vironment
    -0.64
    ning
    -0.64
     Lowell
    -0.64
    wikipedia
    -0.64
    POSITIVE LOGITS
    lessly
    0.86
     scarce
    0.73
    --+
    0.68
    igslist
    0.67
     unanim
    0.66
     reinforcements
    0.65
    HAEL
    0.64
     quarters
    0.64
     assurances
    0.63
    Animation
    0.63
    Activations Density 0.028%

    No Known Activations