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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. 8013
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    Explanations

    references to electronic systems and specific terms related to access and security

    oai_token-act-pair · gpt-3.5-turbo

    references to electronic systems and their security

    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
     Beir
    -0.94
    psons
    -0.91
     Antar
    -0.91
    EPA
    -0.87
    bert
    -0.78
    anto
    -0.77
    reau
    -0.75
    ãĥ´ãĤ¡
    -0.75
     Fran
    -0.71
     piping
    -0.71
    POSITIVE LOGITS
     lock
    2.20
     Lock
    2.19
    Lock
    2.08
     locks
    2.03
    lock
    1.90
     locking
    1.82
    locks
    1.77
    LOCK
    1.69
     locked
    1.64
     Locked
    1.64
    Activations Density 0.269%

    No Known Activations