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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. 10-RES-JB
    11. 7988
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    Explanations

    phrases related to the beginning or start of an event or activity

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to initiating events or actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    cko
    -0.71
    andum
    -0.65
    usercontent
    -0.64
     compromises
    -0.64
    andowski
    -0.63
     UNCLASSIFIED
    -0.62
    entimes
    -0.60
     dstg
    -0.59
    agents
    -0.58
    gypt
    -0.58
    POSITIVE LOGITS
     2017
    0.88
     2015
    0.84
     Week
    0.83
     2016
    0.81
     2018
    0.76
     2014
    0.76
     Season
    0.76
    season
    0.76
     festivities
    0.76
     season
    0.75
    Activations Density 0.124%

    No Known Activations