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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. 7000
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    Explanations

    mentions of the word "uns" at high activations

    oai_token-act-pair · gpt-3.5-turbo

    references to unsafe or problematic substances and their effects

    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
    ŃĶ
    -0.95
     briefs
    -0.72
    phrine
    -0.66
     lobe
    -0.65
     cf
    -0.64
     Pillar
    -0.63
     Krishna
    -0.63
    OPLE
    -0.62
    eur
    -0.61
    ppo
    -0.61
    POSITIVE LOGITS
    atisf
    0.98
    afe
    0.97
    uns
    0.95
    aturated
    0.95
    ners
    0.88
    agi
    0.88
    linger
    0.87
    nels
    0.85
    ustainable
    0.85
    apon
    0.84
    Activations Density 0.006%

    No Known Activations