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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. 10-RES-JB
    11. 8034
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    Explanations

    keywords related to beliefs or lack of beliefs, specifically focusing on the concept of belief itself

    oai_token-act-pair · gpt-3.5-turbo

    expressions of belief and belief systems

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    apeake
    -1.01
    hire
    -0.86
    aird
    -0.73
    Dispatch
    -0.72
    effect
    -0.72
     Cuomo
    -0.67
    amen
    -0.66
     Kissinger
    -0.66
     Kens
    -0.65
    xon
    -0.64
    POSITIVE LOGITS
    ieve
    0.98
    fulness
    0.98
     belief
    0.91
    ieving
    0.90
    ievers
    0.89
     beliefs
    0.89
    lessness
    0.83
     propagation
    0.82
    ieved
    0.81
    iever
    0.76
    Activations Density 0.054%

    No Known Activations