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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. 5777
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    INDEX
    Explanations

    specific mentions of numerical values in the context of factual information

    oai_token-act-pair · gpt-3.5-turbo

    references to time or periods in reports or statistics

    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
    igans
    -0.74
    ular
    -0.61
    agy
    -0.61
    bet
    -0.59
     misunderstand
    -0.59
    Vo
    -0.59
     speculate
    -0.57
     insist
    -0.56
     deserve
    -0.56
     rightly
    -0.55
    POSITIVE LOGITS
     month
    1.13
     same
    1.13
     preceding
    1.08
     entire
    1.08
     year
    1.07
     period
    1.05
     last
    1.01
     past
    0.99
     first
    0.98
     entirety
    0.98
    Activations Density 0.244%

    No Known Activations