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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. 9-RES-JB
    11. 1806
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    references to specific locations in New York City such as the Bronx, Staten Island, and NYPD

    oai_token-act-pair · gpt-3.5-turbo

    references to locations and organizations, particularly focused on the Bronx and Staten Island, as well as the NYPD

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ioned
    -1.14
    ivia
    -0.92
    neau
    -0.89
    wagen
    -0.84
    ial
    -0.84
    inen
    -0.83
    ional
    -0.82
    held
    -0.80
    ive
    -0.80
    cius
    -0.79
    POSITIVE LOGITS
     borough
    1.06
     Borough
    0.99
     subway
    0.82
     Bronx
    0.82
     Mellon
    0.77
     Harbor
    0.73
     Brooklyn
    0.70
     sidewalk
    0.69
     MTA
    0.69
     Cosmos
    0.68
    Activations Density 0.075%

    No Known Activations