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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. 0-RES-JB
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    Explanations

    numbers, specifically the number "43"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the number 43 and related numeric information

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •Embedding Space Digit Features

    No Comments

    Negative Logits
    inventoryQuantity
    -0.77
    auer
    -0.70
    staking
    -0.68
    irtual
    -0.64
     trave
    -0.64
    ORPG
    -0.63
    wcsstore
    -0.63
    EngineDebug
    -0.63
    2018
    -0.62
    å¹
    -0.62
    POSITIVE LOGITS
     43
    2.71
     42
    2.65
     44
    2.60
     41
    2.57
     46
    2.55
     47
    2.53
     37
    2.42
     52
    2.33
     39
    2.32
     38
    2.31
    Activations Density 0.055%

    No Known Activations