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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. 9-RES-JB
    11. 16586
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    Explanations

    words related to dramatic events or scenarios

    oai_token-act-pair · gpt-3.5-turbo

    words related to dramatization and medical conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Pigs
    -0.70
    HAM
    -0.63
     Icar
    -0.61
     Hancock
    -0.61
    ngth
    -0.61
     Doe
    -0.60
     Stras
    -0.60
     Faw
    -0.58
     AVG
    -0.57
     proceeding
    -0.56
    POSITIVE LOGITS
    ronics
    1.15
    andum
    1.13
    rix
    1.04
    ronic
    1.03
    ize
    1.02
    ization
    1.02
    izations
    0.99
    isation
    0.99
    izes
    0.98
    ologist
    0.97
    Activations Density 0.069%

    No Known Activations