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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. 7-RES-JB
    11. 18806
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    Explanations

    details related to personal profiles or biographies

    oai_token-act-pair · gpt-3.5-turbo

    structured data related to sports and personal statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     fres
    -0.82
    avorite
    -0.81
    uve
    -0.77
     behav
    -0.77
    heed
    -0.77
    vre
    -0.72
    Reilly
    -0.70
    oldown
    -0.70
    onite
    -0.69
    inement
    -0.69
    POSITIVE LOGITS
     Unknown
    1.14
     TBD
    1.07
     TBA
    0.92
     Runs
    0.91
     Various
    0.90
     ???
    0.89
     None
    0.88
     Approximately
    0.86
     Measures
    0.85
     Unlimited
    0.82
    Activations Density 0.065%

    No Known Activations