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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. 0-RES-JB
    11. 2095
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    Explanations

    mentions of new arrivals or immigrants alongside statements of advice, assistance, or conflict related to their integration

    oai_token-act-pair · gpt-3.5-turbo

    references to newcomers and outsiders in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    illance
    -0.75
    mone
    -0.66
    ifest
    -0.66
    DAQ
    -0.65
    armor
    -0.63
    uments
    -0.63
    assad
    -0.62
     Planned
    -0.60
    hing
    -0.59
    Obama
    -0.59
    POSITIVE LOGITS
     newcomers
    3.31
     outsiders
    2.88
     newcomer
    2.85
     outsider
    2.42
     beginners
    2.30
     strangers
    2.07
     novice
    2.04
     inexperienced
    1.80
     rookies
    1.78
     beginner
    1.74
    Activations Density 0.028%

    No Known Activations