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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. 4-RES-JB
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    Explanations

    the word "regret" and variations like "regrets" and "regretting."

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "regret" and related emotional concepts

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

    No Comments

    Negative Logits
     rigs
    -0.74
    icles
    -0.70
     dotted
    -0.68
    icle
    -0.65
     indo
    -0.63
    ĪĴ
    -0.62
    uana
    -0.62
    arters
    -0.62
    place
    -0.61
    IPS
    -0.61
    POSITIVE LOGITS
    fully
    1.16
    fulness
    1.00
    ful
    0.97
     regret
    0.90
     regrets
    0.89
    imaru
    0.84
    rence
    0.83
     unfocusedRange
    0.83
    faced
    0.82
    ting
    0.80
    Activations Density 0.012%

    No Known Activations