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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. 8-RES-JB
    11. 11096
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    Explanations

    phrases or words related to sending a message or signal

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to messages or signals being communicated

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uncture
    -0.69
    iqueness
    -0.67
    ById
    -0.66
    tery
    -0.65
     Dealer
    -0.65
    illard
    -0.63
    otte
    -0.63
    âĶĢâĶĢâĶĢâĶĢ
    -0.63
    ancy
    -0.63
    yrights
    -0.62
    POSITIVE LOGITS
     message
    1.07
     messenger
    0.94
     messages
    0.94
     Message
    0.90
     condolences
    0.87
    message
    0.85
     letter
    0.82
     congrat
    0.81
     showc
    0.81
     mail
    0.81
    Activations Density 0.168%

    No Known Activations