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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. 9-RES-JB
    11. 17144
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    Explanations

    phrases related to communication methods and technologies

    oai_token-act-pair · gpt-3.5-turbo

    terms related to communication

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    steen
    -0.83
    jury
    -0.81
    eled
    -0.80
    lein
    -0.77
    gling
    -0.76
    ighed
    -0.76
    iless
    -0.72
    riks
    -0.71
    arte
    -0.71
    engeance
    -0.69
    POSITIVE LOGITS
     channels
    0.98
     communication
    0.88
     protocols
    0.88
     protocol
    0.85
     networks
    0.84
     between
    0.82
     medium
    0.81
     messages
    0.81
     communications
    0.80
     channel
    0.80
    Activations Density 0.051%

    No Known Activations