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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. 10-RES-JB
    11. 17496
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    Explanations

    references to academic institutions, particularly universities

    oai_token-act-pair · gpt-3.5-turbo

    references to educational institutions and government entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iphate
    -0.64
     hydra
    -0.63
    gered
    -0.62
    ggle
    -0.62
     microbiome
    -0.61
     accompanied
    -0.61
    nir
    -0.61
    issan
    -0.61
    onies
    -0.59
    ifles
    -0.58
    POSITIVE LOGITS
     Depot
    0.93
     Manager
    0.92
     Affairs
    0.92
     Square
    0.89
    gate
    0.89
     Matters
    0.88
     Of
    0.87
    Max
    0.86
    Gate
    0.85
     Whip
    0.84
    Activations Density 0.162%

    No Known Activations