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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
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    Explanations

    the entity "Metropolitan" being mentioned in the text

    oai_token-act-pair · gpt-3.5-turbo

    references to metropolitan areas

    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
    etsk
    -0.80
    kick
    -0.76
    ife
    -0.75
    stop
    -0.74
    ider
    -0.73
    pert
    -0.73
    cius
    -0.72
    ices
    -0.70
    verbs
    -0.70
    vous
    -0.70
    POSITIVE LOGITS
     Statistical
    1.04
    ropolitan
    0.88
     oun
    0.87
     Mellon
    0.85
     Manila
    0.81
     Metropolitan
    0.78
     Opera
    0.76
     statistical
    0.76
     Borough
    0.75
    olitan
    0.75
    Activations Density 0.032%

    No Known Activations