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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. 10-RES-JB
    6. 18473
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    Explanations

    words related to laying, laying groundwork, or initiating an action

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to laying blame or establishing foundations

    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
    ively
    -0.88
    iveness
    -0.68
    iles
    -0.68
    qua
    -0.68
    ience
    -0.64
    ernaut
    -0.60
    }{
    -0.60
    ITY
    -0.59
    Scot
    -0.59
    ivity
    -0.58
    POSITIVE LOGITS
     groundwork
    1.19
     siege
    0.95
     down
    0.89
     claim
    0.89
     dormant
    0.88
     waste
    0.86
     bare
    0.86
    mination
    0.83
     foundations
    0.82
    flat
    0.80
    Activations Density 0.021%

    No Known Activations