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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. 2-RES-JB
    11. 11999
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    Explanations

    words related to negative emotions or actions, such as fear, deceit, and disgrace

    oai_token-act-pair · gpt-3.5-turbo

    terms and concepts associated with fear, shame, and moral failures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Scotia
    -0.80
     rink
    -0.73
     Kubrick
    -0.67
     Parkway
    -0.66
     envelope
    -0.65
     approvals
    -0.64
     Kaplan
    -0.64
     Levine
    -0.63
    wana
    -0.62
     Tanzania
    -0.61
    POSITIVE LOGITS
    ful
    1.85
    fully
    1.44
    fulness
    1.14
    full
    1.07
    mare
    1.00
    mares
    0.97
    urous
    0.95
    orial
    0.93
    beat
    0.92
    FUL
    0.89
    Activations Density 0.016%

    No Known Activations