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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 7-RES-JB
    11. 14149
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    Explanations

    words related to communication

    oai_token-act-pair · gpt-3.5-turbo

    words related to communication

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    steen
    -0.89
    arte
    -0.81
    engeance
    -0.75
    Fan
    -0.75
    uck
    -0.73
    Lago
    -0.73
    eled
    -0.71
    liga
    -0.70
    lein
    -0.70
    este
    -0.69
    POSITIVE LOGITS
     communication
    0.87
     messages
    0.80
     communicated
    0.78
     protocols
    0.77
     communicates
    0.76
     fluent
    0.73
     conveyed
    0.73
     Communication
    0.72
    к
    0.71
     organs
    0.70
    Activations Density 0.029%

    No Known Activations