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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. 6502
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    Explanations

    terms related to transportation, specifically mentioning riders

    oai_token-act-pair · gpt-3.5-turbo

    terms related to transit riders

    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
    aples
    -0.72
    ritz
    -0.65
     Bhar
    -0.64
    gur
    -0.63
     Crimea
    -0.63
    elman
    -0.62
    otic
    -0.61
    ilts
    -0.61
    opathic
    -0.60
    orial
    -0.60
    POSITIVE LOGITS
    hip
    1.51
    enty
    0.87
    bike
    0.87
     riders
    0.85
    KY
    0.84
    pool
    0.82
    hips
    0.80
    itized
    0.78
     rider
    0.76
    walk
    0.76
    Activations Density 0.020%

    No Known Activations