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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. 9493
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    Explanations

    keyboard characters and indentation patterns rather than meaningful text content

    oai_token-act-pair · gpt-3.5-turbo

    instances of surprise or disbelief

    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
    Not in Any Lists

    No Comments

    Negative Logits
     FAT
    -0.65
     blitz
    -0.64
     pyramid
    -0.64
     RAF
    -0.61
     sprawling
    -0.61
     Pyramid
    -0.60
     strat
    -0.58
     caucuses
    -0.57
     Skydragon
    -0.56
     Altern
    -0.56
    POSITIVE LOGITS
    ï¸ı
    1.12
    sic
    0.90
    âĶĢâĶĢâĶĢâĶĢ
    0.85
    said
    0.85
    same
    0.84
    laughs
    0.84
    udes
    0.77
    tal
    0.77
    cause
    0.77
    dro
    0.74
    Activations Density 0.385%

    No Known Activations