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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. 6-RES-JB
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    Explanations

    expressions of regret

    oai_token-act-pair · gpt-3.5-turbo

    expressions of regret and remorse

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĪĴ
    -0.72
    uana
    -0.69
     rigs
    -0.69
    icles
    -0.69
    agnetic
    -0.65
    icle
    -0.63
    adj
    -0.63
    女
    -0.63
    emonic
    -0.62
    place
    -0.62
    POSITIVE LOGITS
    fully
    1.15
    ful
    1.00
    fulness
    0.96
    FUL
    0.84
     regrets
    0.83
    imaru
    0.82
    faced
    0.80
    vier
    0.79
     regret
    0.78
    ting
    0.78
    Activations Density 0.019%

    No Known Activations