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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. 17649
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    Explanations

    words related to negative emotions such as shame, regret, disgrace, and remorse

    oai_token-act-pair · gpt-3.5-turbo

    words associated with feelings of shame, regret, and disgrace

    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
    aeda
    -0.67
     Aren
    -0.63
    ITNESS
    -0.63
    cffffcc
    -0.58
    ITIES
    -0.57
     Collider
    -0.56
     Contracts
    -0.56
     Transactions
    -0.55
    nesota
    -0.55
     Paddock
    -0.55
    POSITIVE LOGITS
    ful
    2.53
    fully
    2.46
    FUL
    1.91
    fulness
    1.88
    full
    1.73
    lessly
    1.56
    less
    1.48
    faced
    1.34
    lessness
    1.29
    staking
    1.29
    Activations Density 0.148%

    No Known Activations