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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. 11-RES-JB
    11. 11729
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    Explanations

    instances where someone is observed or witnessed doing something

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "seen" in various contexts

    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
    Information
    -0.67
    OPLE
    -0.66
     Belief
    -0.66
    oro
    -0.65
    olicy
    -0.64
    MAT
    -0.64
    ulum
    -0.64
     Clicker
    -0.63
    idity
    -0.63
     Correction
    -0.62
    POSITIVE LOGITS
     hovering
    0.98
     popping
    0.94
     roaming
    0.92
     flickering
    0.91
     photograp
    0.91
     fleeing
    0.90
     eyeing
    0.86
     wandering
    0.86
     patrolling
    0.86
     entering
    0.86
    Activations Density 0.060%

    No Known Activations