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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 10346
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    INDEX
    Explanations

    references to physical structures or landmarks, particularly with high significance or recognition

    oai_token-act-pair · gpt-3.5-turbo

    references to monuments

    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
    Leary
    -0.74
    FP
    -0.73
    Roy
    -0.68
    rosso
    -0.67
    erm
    -0.67
    ENG
    -0.65
    lass
    -0.64
    Liquid
    -0.64
    tails
    -0.63
    ya
    -0.63
    POSITIVE LOGITS
     monuments
    1.07
     monument
    1.06
     erected
    1.01
    alist
    0.87
    vironment
    0.81
    wikipedia
    0.78
    arium
    0.78
     tyr
    0.76
     plaque
    0.76
    olithic
    0.75
    Activations Density 0.029%

    No Known Activations