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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. 4703
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    INDEX
    Explanations

    expressions of emotional significance or accomplishment

    oai_token-act-pair · gpt-3.5-turbo

    expressions of appreciation or significance related to personal experiences

    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
    apons
    -0.86
    pmwiki
    -0.77
    utterstock
    -0.71
     inconsist
    -0.71
    ensibly
    -0.70
     deviations
    -0.67
    abbage
    -0.65
    failed
    -0.64
     predictably
    -0.64
     complained
    -0.62
    POSITIVE LOGITS
     congr
    1.07
     congratulations
    1.01
     thank
    1.00
     honour
    0.98
     honor
    0.96
     THANK
    0.93
    Thank
    0.92
     gratitude
    0.89
     accomplishment
    0.88
     Thank
    0.88
    Activations Density 0.244%

    No Known Activations