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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 23026
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    Explanations

    references to locations, specifically the mention of "New York City"

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rar
    -0.80
    terness
    -0.78
    hement
    -0.75
    riet
    -0.75
    icum
    -0.73
    iru
    -0.72
    nir
    -0.71
     scrut
    -0.71
    igham
    -0.70
    phabet
    -0.70
    POSITIVE LOGITS
     subway
    1.09
     borough
    1.00
     FC
    0.97
     skyline
    0.97
    scape
    0.95
     landmarks
    0.93
     neighborhoods
    0.92
     Mayor
    0.92
     skysc
    0.91
     streets
    0.91
    Activations Density 0.049%

    No Known Activations