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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. 4-RES-JB
    11. 9126
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    Explanations

    references to the year 2008

    oai_token-act-pair · gpt-3.5-turbo

    the year 2008 in various contexts

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

    No Comments

    Negative Logits
     ancest
    -0.78
    Magikarp
    -0.66
    heid
    -0.65
    ymes
    -0.64
    imore
    -0.63
     unpre
    -0.62
    detail
    -0.61
    oÄŁ
    -0.61
    ancy
    -0.60
    icular
    -0.60
    POSITIVE LOGITS
    å¹
    0.75
    -'
    0.74
    yrinth
    0.70
    bit
    0.67
    irection
    0.67
    finals
    0.66
    é¾
    0.66
    clinton
    0.66
    98
    0.66
    wark
    0.66
    Activations Density 0.023%

    No Known Activations