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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 4-RES-JB
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    Explanations

    names of locations, specifically the borough of Queens

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the borough of Queens

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

    No Comments

    Negative Logits
    aneous
    -0.75
    rious
    -0.73
    ischer
    -0.69
    åŃ
    -0.67
    wcsstore
    -0.67
    ONSORED
    -0.65
    herer
    -0.64
     Lov
    -0.64
    insk
    -0.64
    aneously
    -0.64
    POSITIVE LOGITS
     Queens
    0.93
     Borough
    0.91
    boro
    0.90
    uits
    0.81
    folk
    0.79
    borough
    0.79
    hall
    0.78
    walk
    0.77
     borough
    0.77
    met
    0.76
    Activations Density 0.003%

    No Known Activations