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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
    11. 11332
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    Explanations

    numeric identifiers within a structure

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to evidence and references in research or claims

    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
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    Negative Logits
    umar
    -0.72
    oak
    -0.70
    zone
    -0.69
    KK
    -0.66
     warranties
    -0.65
     allowances
    -0.63
    Allows
    -0.61
     KP
    -0.61
     kios
    -0.60
     leasing
    -0.59
    POSITIVE LOGITS
     undergrad
    0.80
    Random
    0.79
     Mathemat
    0.74
     physicists
    0.71
     Surgery
    0.65
     Medicine
    0.64
     Study
    0.64
    Ĺ
    0.63
     Physics
    0.63
     Applied
    0.62
    Activations Density 0.594%

    No Known Activations