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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. 4-RES-JB
    11. 6109
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    oai_token-act-pair · gpt-3.5-turbo

    references to Stanford University

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    alez
    -0.85
    hops
    -0.73
    usher
    -0.71
    usting
    -0.71
    merce
    -0.70
     substant
    -0.67
     livest
    -0.66
    mble
    -0.66
    ramid
    -0.66
    odic
    -0.65
    POSITIVE LOGITS
     University
    0.98
     Institution
    0.97
     Cardinal
    0.85
     Hills
    0.84
     Libraries
    0.80
     Univ
    0.79
     Encyclopedia
    0.79
     Linear
    0.79
     Stanford
    0.76
     Olson
    0.75
    Activations Density 0.008%

    No Known Activations