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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. 1-RES-JB
    11. 990
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    Explanations

    situations involving secrecy or hidden activities

    oai_token-act-pair · gpt-3.5-turbo

    words related to sneakiness or stealth

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Pwr
    -0.84
    nan
    -0.74
    alg
    -0.70
    onial
    -0.70
    nas
    -0.69
    minus
    -0.69
    inction
    -0.67
    upon
    -0.67
    rost
    -0.66
    rices
    -0.66
    POSITIVE LOGITS
     sneak
    1.28
     peek
    0.96
    ily
    0.94
     glances
    0.85
     sneaking
    0.84
    ipeg
    0.77
     sne
    0.77
     Sneak
    0.76
    door
    0.71
    ously
    0.67
    Activations Density 0.006%

    No Known Activations