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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. 5-RES-JB
    6. 9150
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    Explanations

    verbs related to taking action or getting involved in a situation

    oai_token-act-pair · gpt-3.5-turbo

    words related to intervention actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    esan
    -0.75
    ãĥª
    -0.74
    mental
    -0.71
    bred
    -0.71
    tha
    -0.68
    ãĥ¼ãĥ³
    -0.68
    arth
    -0.67
    creation
    -0.66
    corn
    -0.65
    nic
    -0.65
    POSITIVE LOGITS
     favorably
    0.94
     aggressively
    0.89
     peacefully
    0.88
     strongly
    0.87
     extensively
    0.87
    acebook
    0.83
     forcefully
    0.81
     positively
    0.80
     furiously
    0.79
     ancest
    0.78
    Activations Density 0.118%

    No Known Activations