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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. 0-RES-JB
    11. 20175
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    Explanations

    mentions of the location "Brooklyn" in the text

    oai_token-act-pair · gpt-3.5-turbo

    references to Brooklyn and its context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ´
    -0.70
     emission
    -0.69
    External
    -0.66
     recognised
    -0.65
    hap
    -0.65
    disk
    -0.64
     licences
    -0.64
     favourable
    -0.64
     ESA
    -0.64
    oday
    -0.63
    POSITIVE LOGITS
     Brooklyn
    3.67
     Bronx
    2.45
    Brook
    2.39
     Manhattan
    2.13
     Harlem
    2.08
     Staten
    2.04
     Queens
    1.99
     NYC
    1.81
     NYPD
    1.73
     borough
    1.56
    Activations Density 0.017%

    No Known Activations