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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. 5532
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    INDEX
    Explanations

    sequential patterns or events in a story

    oai_token-act-pair · gpt-3.5-turbo

    references to narratives or storytelling elements

    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
    Not in Any Lists

    No Comments

    Negative Logits
    Cook
    -0.86
     teasp
    -0.84
     Roose
    -0.83
    orkshire
    -0.83
    iquette
    -0.82
     golf
    -0.80
    verty
    -0.80
     todd
    -0.80
     skiing
    -0.79
    tten
    -0.79
    POSITIVE LOGITS
     Lucifer
    1.39
     Serpent
    1.39
     Archangel
    1.37
     Prometheus
    1.37
     Minotaur
    1.35
     Titan
    1.35
     Zeus
    1.28
     Cosmic
    1.26
     Celest
    1.25
     Planetary
    1.25
    Activations Density 0.521%

    No Known Activations