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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. 5299
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    Explanations

    messages or references to communication

    oai_token-act-pair · gpt-3.5-turbo

    references to messages and communication within a system

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
    engeance
    -0.81
    aughs
    -0.79
    ONSORED
    -0.76
    arte
    -0.73
    rowd
    -0.71
    itals
    -0.70
    emale
    -0.69
    urses
    -0.66
    urse
    -0.66
    biased
    -0.65
    POSITIVE LOGITS
     messages
    0.98
     goodbye
    0.89
     Messages
    0.89
    boxes
    0.85
    box
    0.84
    message
    0.81
    mith
    0.81
     message
    0.81
    FontSize
    0.81
     inbox
    0.80
    Activations Density 0.023%

    No Known Activations