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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. 1443
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    Explanations

    reported numbers of people affected by tragedies or disasters

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating the occurrence of deaths or victims

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤ´
    -0.75
     Kills
    -0.73
     Predict
    -0.61
     Quote
    -0.60
     Pair
    -0.60
    advertising
    -0.59
     Spoiler
    -0.58
     Definition
    -0.58
     Recap
    -0.57
     Cannot
    -0.56
    POSITIVE LOGITS
     been
    1.41
     died
    1.26
     perished
    1.19
     undergone
    1.14
    been
    1.11
     volunteered
    1.08
     fallen
    1.06
     gone
    1.04
     fled
    1.02
     participated
    1.01
    Activations Density 0.095%

    No Known Activations