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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. 8093
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    Explanations

    phrases related to kits or kits' components

    oai_token-act-pair · gpt-3.5-turbo

    references to various kits and their components

    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
     Marketable
    -0.70
    nesota
    -0.70
    ews
    -0.65
    acebook
    -0.65
    ãģį
    -0.64
    åŃIJ
    -0.63
    arching
    -0.63
    cffffcc
    -0.62
    quished
    -0.61
    unct
    -0.61
    POSITIVE LOGITS
    chens
    1.67
    chen
    1.23
    kat
    1.15
    Kat
    0.98
    kit
    0.98
    chn
    0.95
    ches
    0.94
    chy
    0.91
    bash
    0.88
     kits
    0.84
    Activations Density 0.029%

    No Known Activations