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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. 3-RES-JB
    11. 5587
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    Explanations

    mentions of different seasons

    oai_token-act-pair · gpt-3.5-turbo

    references to various seasons and their characteristics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hai
    -0.67
    inburgh
    -0.63
    aware
    -0.63
    enei
    -0.63
    plete
    -0.63
    mercial
    -0.63
     conveyed
    -0.63
    ierrez
    -0.62
    ortium
    -0.61
     sten
    -0.61
    POSITIVE LOGITS
     opener
    0.92
     finale
    0.87
    ally
    0.80
     premiere
    0.77
     Ago
    0.72
     Afric
    0.71
    é¾
    0.70
     Chrys
    0.67
     fruits
    0.67
    ı
    0.67
    Activations Density 0.037%

    No Known Activations