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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. 7-RES-JB
    11. 11577
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    INDEX
    Explanations

    proper nouns related to people or places

    oai_token-act-pair · gpt-3.5-turbo

    references to earnings and financial terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uddin
    -0.80
    gdala
    -0.74
     miscon
    -0.71
    ãĤ´ãĥ³
    -0.70
    BuyableInstoreAndOnline
    -0.70
    GGGGGGGG
    -0.67
    PLA
    -0.67
    OSE
    -0.67
    «ĺ
    -0.67
     constitu
    -0.66
    POSITIVE LOGITS
    hardt
    1.27
    nings
    1.04
    emouth
    1.02
    eland
    1.00
    esy
    1.00
    ings
    1.00
    ership
    0.96
    emy
    0.94
    hart
    0.93
    ners
    0.92
    Activations Density 0.048%

    No Known Activations