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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. 2-RES-JB
    11. 806
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    Explanations

    names of places, specifically cities or regions

    oai_token-act-pair · gpt-4-turbo

    names of specific locations or cities

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names of cities and places

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    IPS
    -0.64
     Finder
    -0.64
    Pand
    -0.63
    BAT
    -0.63
    OW
    -0.62
    ITION
    -0.61
    TPP
    -0.61
     shortage
    -0.61
     apples
    -0.60
    ISON
    -0.59
    POSITIVE LOGITS
     Janeiro
    1.02
    upid
    0.99
    zhou
    0.95
    ijk
    0.83
    orgetown
    0.82
    ItemTracker
    0.81
     Lumpur
    0.81
    alion
    0.81
    raltar
    0.81
    doms
    0.80
    Activations Density 0.040%

    No Known Activations