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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. 16914
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    INDEX
    Explanations

    mentions of the word "communications"

    oai_token-act-pair · gpt-3.5-turbo

    references to communication activities and technologies

    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
    jury
    -0.93
    steen
    -0.81
    gling
    -0.80
    amina
    -0.78
    iless
    -0.78
    endon
    -0.76
    \/\/
    -0.76
    Äį
    -0.74
    âĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢ
    -0.74
     Naples
    -0.72
    POSITIVE LOGITS
     communications
    0.99
     communication
    0.92
    communications
    0.92
     protocols
    0.90
     messages
    0.88
     networks
    0.86
     channels
    0.86
     transmissions
    0.84
     theorist
    0.81
     protocol
    0.80
    Activations Density 0.019%

    No Known Activations