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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
    11. 6819
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    Explanations

    numbers in the range '48-9'

    oai_token-act-pair · gpt-3.5-turbo

    the occurrence of the number 48

    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
    cially
    -0.71
    yang
    -0.67
    aimon
    -0.67
    thood
    -0.63
    inventoryQuantity
    -0.61
    ãĤ¿
    -0.61
     mercenaries
    -0.59
    ionic
    -0.59
    vir
    -0.58
    使
    -0.58
    POSITIVE LOGITS
     48
    3.04
     72
    2.19
     47
    2.05
     52
    2.00
     49
    1.97
     46
    1.96
     44
    1.93
     36
    1.91
     38
    1.89
     45
    1.89
    Activations Density 0.026%

    No Known Activations