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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. 6-RES-JB
    6. 3341
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    Explanations

    phrases related to specific technical terms and proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    specific proper nouns and terms related to activities and organizational elements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ht
    -0.57
    Merit
    -0.54
    tera
    -0.51
    gpu
    -0.51
    terness
    -0.49
    uner
    -0.49
     diplom
    -0.48
    acle
    -0.48
    acas
    -0.47
     Thy
    -0.46
    POSITIVE LOGITS
     tradem
    0.58
    etheless
    0.57
     constitu
    0.56
     Citiz
    0.55
    galitarian
    0.53
    orno
    0.52
    vertis
    0.50
    entity
    0.50
    Discussion
    0.50
    Maps
    0.49
    Activations Density 1.258%

    No Known Activations