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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. 9-RES-JB
    6. 6197
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    INDEX
    Explanations

    phrases related to camping or outdoor activities

    oai_token-act-pair · gpt-3.5-turbo

    references to different camps or camping-related activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lihood
    -0.82
     nutrit
    -0.62
     magnification
    -0.61
     streng
    -0.60
     antioxid
    -0.60
    ctive
    -0.59
     pudding
    -0.58
     latent
    -0.58
     quot
    -0.57
     regress
    -0.56
    POSITIVE LOGITS
    ground
    1.35
    fires
    1.31
    grounds
    1.28
    fire
    1.21
    agna
    1.11
    agne
    0.99
    camp
    0.98
    bell
    0.94
    anas
    0.93
    erness
    0.90
    Activations Density 0.046%

    No Known Activations