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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. 5-RES-JB
    6. 16677
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    INDEX
    Explanations

    mentions of different locations and activities within those locations

    oai_token-act-pair · gpt-3.5-turbo

    descriptions of personal experiences and settings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    emort
    -0.71
     unequivocally
    -0.64
     definitively
    -0.64
    azeera
    -0.62
    ERO
    -0.62
    erity
    -0.61
    rists
    -0.61
    hematically
    -0.59
     accurately
    -0.59
    phabet
    -0.58
    POSITIVE LOGITS
     rented
    0.86
     downtown
    0.76
     convent
    0.74
     tents
    0.73
     monastery
    0.73
     café
    0.71
     caravan
    0.71
     mosqu
    0.70
     makeshift
    0.70
     dorm
    0.70
    Activations Density 1.012%

    No Known Activations