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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 1154
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    Explanations

    words related to the location "Queens"

    oai_token-act-pair · gpt-3.5-turbo

    references to the borough of Queens and related locations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rious
    -0.74
    aneous
    -0.71
    herer
    -0.70
    inen
    -0.68
    ischer
    -0.66
    letcher
    -0.64
    akable
    -0.63
    È
    -0.63
     Lov
    -0.63
    EMP
    -0.62
    POSITIVE LOGITS
    boro
    0.95
     Borough
    0.90
    folk
    0.87
    borough
    0.87
     Queens
    0.85
    uits
    0.83
    walk
    0.83
    pace
    0.83
    mares
    0.81
    ingen
    0.79
    Activations Density 0.009%

    No Known Activations