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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. 982
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    Explanations

    identifiers or references related to messages

    oai_token-act-pair · gpt-3.5-turbo

    references to messages in various contexts

    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
    engeance
    -0.82
    ONSORED
    -0.80
    aughs
    -0.79
    rowd
    -0.77
    cling
    -0.73
    ESCO
    -0.71
    itals
    -0.71
    biased
    -0.70
    orks
    -0.69
    nec
    -0.69
    POSITIVE LOGITS
     messages
    1.09
     Messages
    0.99
     goodbye
    0.93
    Message
    0.93
     message
    0.93
    message
    0.91
    FontSize
    0.87
    mith
    0.84
    achine
    0.81
     inbox
    0.81
    Activations Density 0.019%

    No Known Activations