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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. 11-RES-JB
    11. 5349
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    Explanations

    words associated with accidents or disasters

    oai_token-act-pair · gpt-3.5-turbo

    instances of accidents, crashes, and violent incidents

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ©¶æ
    -0.69
    omething
    -0.68
    liam
    -0.65
    bestos
    -0.64
    ystem
    -0.63
    oslov
    -0.63
    ween
    -0.63
    haar
    -0.61
    afety
    -0.59
    anol
    -0.59
    POSITIVE LOGITS
     festivities
    1.01
     itself
    0.89
    waters
    0.89
     unfold
    0.88
     unfolding
    0.85
     process
    0.81
     ordeal
    0.80
     proceedings
    0.80
     scene
    0.79
     spree
    0.79
    Activations Density 0.284%

    No Known Activations