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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
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    Explanations

    mentions or references to residents of a particular place

    oai_token-act-pair · gpt-3.5-turbo

    the term "resident" as it relates to one's domicile or place of habitation

    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
    etheus
    -0.88
    anche
    -0.85
    anwhile
    -0.79
    lda
    -0.78
    anches
    -0.78
    matically
    -0.78
    AAF
    -0.76
    ply
    -0.75
    gged
    -0.75
    displayText
    -0.75
    POSITIVE LOGITS
     resident
    0.82
     occup
    0.69
     Residents
    0.68
     Evil
    0.67
    hips
    0.66
    ial
    0.66
    ially
    0.64
     á
    0.63
     dwell
    0.62
    resident
    0.62
    Activations Density 0.006%

    No Known Activations