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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. 7-RES-JB
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    Explanations

    references to "Stanford University."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "Stanford."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    alez
    -0.78
    hops
    -0.77
    usting
    -0.71
    alam
    -0.71
     livest
    -0.70
    ocre
    -0.69
    usher
    -0.69
    pelled
    -0.66
    ombo
    -0.66
    mble
    -0.65
    POSITIVE LOGITS
     Institution
    0.86
     Hills
    0.85
     Cardinal
    0.81
     Alto
    0.80
     University
    0.77
    thal
    0.74
     Encyclopedia
    0.74
     Linear
    0.73
     Laboratories
    0.72
     Beach
    0.71
    Activations Density 0.022%

    No Known Activations