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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. 11-RES-JB
    6. 15662
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    INDEX
    Explanations

    occurrences of the word "sent"

    oai_token-act-pair · gpt-3.5-turbo

    words associated with the act of sending or communicating

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    heid
    -0.78
    urity
    -0.74
    thood
    -0.69
    itect
    -0.67
    zinski
    -0.65
    skinned
    -0.65
    minster
    -0.63
    phe
    -0.63
    tera
    -0.63
    bian
    -0.62
    POSITIVE LOGITS
    inel
    1.02
     letters
    0.99
     condolences
    0.94
    entious
    0.93
     emails
    0.91
     messages
    0.91
     invitations
    0.88
     mail
    0.86
     out
    0.84
     Emails
    0.83
    Activations Density 0.054%

    No Known Activations