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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. 8-RES-JB
    11. 1984
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    Explanations

    locations, cities, and countries

    oai_token-act-pair · gpt-3.5-turbo

    names of places, people, and items related to significant topics or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Clar
    -0.60
    phal
    -0.60
    eatures
    -0.59
    ophy
    -0.57
    Break
    -0.56
    Lear
    -0.55
    ULAR
    -0.54
    Mp
    -0.54
     Sinn
    -0.53
    lopp
    -0.53
    POSITIVE LOGITS
     respectively
    0.88
     whilst
    0.69
     alike
    0.64
     while
    0.64
     chanting
    0.63
     praying
    0.60
     whereas
    0.59
     imaginable
    0.59
     fame
    0.58
    .",
    0.56
    Activations Density 1.067%

    No Known Activations