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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. 31
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    Explanations

    phrases related to lists or series of items

    oai_token-act-pair · gpt-3.5-turbo

    references to team-related activities and organizations

    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
     acet
    -0.57
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.55
    obil
    -0.55
    atron
    -0.54
    parable
    -0.53
    .''
    -0.52
    ophobic
    -0.51
     caps
    -0.48
    obar
    -0.48
     gland
    -0.48
    POSITIVE LOGITS
     vying
    0.56
     specializing
    0.56
     neighb
    0.55
    ESE
    0.55
     themed
    0.55
     staffed
    0.54
     architectures
    0.54
     acad
    0.54
     Classics
    0.54
     subdiv
    0.54
    Activations Density 0.995%

    No Known Activations