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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. 12610
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    Explanations

    mentioning of specific names or terms related to military, movies, companies, countries, and some medical terms

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly those related to notable individuals, organizations, and brands

    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
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    No Comments

    Negative Logits
    è£ħ
    -0.85
     tremend
    -0.82
     Nationwide
    -0.77
    é¾įå¥ij士
    -0.72
     Giov
    -0.70
    staking
    -0.69
    ä
    -0.66
     Brill
    -0.65
     unheard
    -0.63
     actionGroup
    -0.63
    POSITIVE LOGITS
    ppers
    0.89
    ®
    0.84
    ¯
    0.83
    atoes
    0.83
    ¼
    0.81
    ´
    0.81
    IJ
    0.81
    ·
    0.80
    Ń
    0.80
    ioxide
    0.79
    Activations Density 0.119%

    No Known Activations