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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. 16652
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    Explanations

    mentions of geographical locations, specifically focusing on New York and New Jersey

    oai_token-act-pair · gpt-3.5-turbo

    references to the states of New York and New Jersey

    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
    framework
    -0.75
    iasis
    -0.74
     Notting
    -0.68
     Gustav
    -0.66
     functioning
    -0.63
     Danish
    -0.62
    toggle
    -0.62
     Finnish
    -0.62
    wagen
    -0.61
    naire
    -0.61
    POSITIVE LOGITS
    BI
    1.23
    RA
    1.19
    WA
    1.18
    OTUS
    1.17
    RB
    1.14
    FW
    1.13
    LA
    1.12
    PD
    1.11
    FR
    1.11
    FP
    1.11
    Activations Density 0.089%

    No Known Activations