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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. 8-RES-JB
    11. 8100
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    Explanations

    scores related to sports games

    oai_token-act-pair · gpt-3.5-turbo

    numerical data or statistics related to sports events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ¥ŀ
    -0.80
    conservancy
    -0.72
    ĪĴ
    -0.65
     acad
    -0.63
    ÄŁ
    -0.61
    quartered
    -0.60
     renown
    -0.60
     simulator
    -0.60
     supposedly
    -0.59
    issance
    -0.57
    POSITIVE LOGITS
     0
    0.70
    VALUE
    0.67
     Cannot
    0.67
     WRITE
    0.64
    ublic
    0.62
    OTAL
    0.62
    Deal
    0.62
    vati
    0.61
    eto
    0.61
    isSpecialOrderable
    0.58
    Activations Density 0.200%

    No Known Activations