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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. 23581
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    Explanations

    phrases related to policies or rules

    oai_token-act-pair · gpt-3.5-turbo

    phrases that describe policies

    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
    conom
    -0.76
    igent
    -0.74
    cies
    -0.74
     reperto
    -0.70
    ptoms
    -0.69
    emonium
    -0.68
    era
    -0.68
    else
    -0.68
    enth
    -0.68
    oor
    -0.68
    POSITIVE LOGITS
     separating
    1.12
     letting
    1.10
     excluding
    1.10
     selecting
    1.09
     needing
    1.07
     electing
    1.04
     assigning
    1.04
     relying
    1.03
     putting
    1.03
     creating
    1.03
    Activations Density 0.193%

    No Known Activations