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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. 9070
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    Explanations

    numerical figures and measurements

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate numerical values or statistics

    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
    nai
    -0.71
    BRE
    -0.67
    dayName
    -0.67
    soDeliveryDate
    -0.65
    Shut
    -0.63
    bart
    -0.61
    hai
    -0.61
    ONSORED
    -0.60
    orc
    -0.60
     )))
    -0.59
    POSITIVE LOGITS
     none
    0.79
     namely
    0.77
     including
    0.74
     unsurprisingly
    0.72
    there
    0.68
    etheus
    0.65
    avorite
    0.65
     notably
    0.64
     fewer
    0.64
     one
    0.60
    Activations Density 0.098%

    No Known Activations