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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
    11. 9016
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    Explanations

    references to locations, particularly NYC

    oai_token-act-pair · gpt-3.5-turbo

    references to New York City and its related landmarks

    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
    rar
    -0.91
    ional
    -0.86
    pring
    -0.83
    fully
    -0.83
    addons
    -0.82
    ioned
    -0.76
    cause
    -0.75
    tenance
    -0.75
    correct
    -0.75
    wagen
    -0.74
    POSITIVE LOGITS
     skyline
    0.87
    NY
    0.87
    USD
    0.81
     NYC
    0.81
    FC
    0.79
    PD
    0.78
     Mellon
    0.75
     apartment
    0.74
     NY
    0.74
     metro
    0.73
    Activations Density 0.008%

    No Known Activations