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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. 6-RES-JB
    6. 9363
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    Explanations

    references to locations, specifically related to New York City

    oai_token-act-pair · gpt-3.5-turbo

    references to New York City and related entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pring
    -0.94
    wagen
    -0.89
    ioned
    -0.85
    istics
    -0.81
    tenance
    -0.78
    icio
    -0.77
    rar
    -0.77
    fully
    -0.76
    acters
    -0.75
    ional
    -0.73
    POSITIVE LOGITS
    FC
    1.06
    PD
    1.04
    NY
    0.97
    USD
    0.96
    BB
    0.84
    AAF
    0.84
    ZA
    0.82
    BER
    0.80
    RB
    0.80
    OC
    0.80
    Activations Density 0.017%

    No Known Activations