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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. 14390
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    INDEX
    Explanations

    phrases related to riders in a competitive or sports context

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "riders" or references to individuals participating in an activity or event

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    orial
    -0.75
    aples
    -0.75
    lishes
    -0.74
    elman
    -0.69
    ritz
    -0.68
    ilial
    -0.68
     Bhar
    -0.65
    urated
    -0.65
     Oriental
    -0.64
     Bezos
    -0.64
    POSITIVE LOGITS
    hip
    1.27
    bike
    0.94
     riders
    0.93
    wake
    0.88
    pool
    0.87
     rider
    0.85
    enty
    0.84
    KY
    0.79
    chairs
    0.78
    cling
    0.77
    Activations Density 0.039%

    No Known Activations