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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

    references to a specific location: New York City

    oai_token-act-pair · gpt-3.5-turbo

    mentions of New York City

    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
    tle
    -0.91
    selection
    -0.88
    igham
    -0.85
    etsk
    -0.83
    rar
    -0.83
    syn
    -0.81
    ibilities
    -0.81
    wcsstore
    -0.80
    lyak
    -0.77
    ivia
    -0.77
    POSITIVE LOGITS
     Council
    0.99
    scape
    0.99
     skyline
    0.95
     District
    0.92
     landmarks
    0.85
     Mayor
    0.84
     Borough
    0.83
     City
    0.83
     streets
    0.81
     Orchestra
    0.81
    Activations Density 0.020%

    No Known Activations