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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. 3-RES-JB
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    Explanations

    the word "Chase"

    oai_token-act-pair · gpt-3.5-turbo

    references to the name "Chase" and related entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    etheless
    -0.82
    atics
    -0.76
    aciously
    -0.74
     exha
    -0.73
    hops
    -0.73
    usterity
    -0.71
     ware
    -0.70
    aution
    -0.69
    rogens
    -0.69
    eatures
    -0.68
    POSITIVE LOGITS
     Chase
    1.14
     Sapphire
    0.75
     JPM
    0.71
     Bots
    0.71
     Racing
    0.70
     Masters
    0.69
    Diamond
    0.68
    Card
    0.67
     Cars
    0.67
     Divinity
    0.66
    Activations Density 0.011%

    No Known Activations