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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. 4-RES-JB
    6. 23209
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    Explanations

    phrases related to completing tasks or achieving goals

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "to" indicating intention or purpose

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

    No Comments

    Negative Logits
    soDeliveryDate
    -0.51
    listed
    -0.51
    quickShipAvailable
    -0.44
     netted
    -0.41
     costing
    -0.41
     millenn
    -0.40
    anooga
    -0.40
     nomine
    -0.40
    Got
    -0.39
    _.
    -0.39
    POSITIVE LOGITS
     avoid
    0.75
    ggles
    0.73
     compensate
    0.72
     maximize
    0.71
     achieve
    0.69
     minimize
    0.68
    othy
    0.68
     defend
    0.67
     protect
    0.67
     relieve
    0.67
    Activations Density 0.716%

    No Known Activations