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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. 18992
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    INDEX
    Explanations

    mentions of or references to new individuals or groups of people entering a specific setting or scenario

    oai_token-act-pair · gpt-3.5-turbo

    mentions of newcomers in various contexts

    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
    orie
    -0.89
    arching
    -0.78
    oret
    -0.71
    imon
    -0.68
    vet
    -0.68
    fax
    -0.68
    ifi
    -0.65
     Reprodu
    -0.64
    rior
    -0.64
    bia
    -0.64
    POSITIVE LOGITS
     entrants
    1.02
     newcomers
    0.91
     newcomer
    0.88
    glers
    0.84
     Flavoring
    0.77
     rookies
    0.75
     aboard
    0.68
     youngsters
    0.68
     obscurity
    0.65
     arrivals
    0.65
    Activations Density 0.012%

    No Known Activations