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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. 9-RES-JB
    11. 13718
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    Explanations

    phrases indicating the likelihood or possibility of an event happening

    oai_token-act-pair · gpt-3.5-turbo

    discussions related to individual agency and possibilities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rote
    -0.85
    redits
    -0.65
     Dragonbound
    -0.62
    izons
    -0.61
    rotein
    -0.60
    rahim
    -0.60
    Works
    -0.59
    owicz
    -0.59
    isodes
    -0.55
    ourses
    -0.54
    POSITIVE LOGITS
     being
    1.72
     becoming
    1.55
     having
    1.43
     disappearing
    1.42
    being
    1.41
     needing
    1.40
     getting
    1.33
    having
    1.31
     owning
    1.29
     happening
    1.24
    Activations Density 0.789%

    No Known Activations