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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. 3-RES-JB
    11. 9120
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    INDEX
    Explanations

    mentions of riders

    oai_token-act-pair · gpt-3.5-turbo

    references to riders in a transit context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aples
    -0.73
    orial
    -0.70
    ritz
    -0.70
     China
    -0.64
    IELD
    -0.63
    ihara
    -0.63
     Crimea
    -0.62
    rontal
    -0.62
    argon
    -0.62
     mainland
    -0.61
    POSITIVE LOGITS
    hip
    1.27
     riders
    1.06
    bike
    0.92
     rider
    0.90
    chairs
    0.83
    enty
    0.82
    pread
    0.78
    mount
    0.75
    comed
    0.75
    lane
    0.74
    Activations Density 0.007%

    No Known Activations