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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
    6. 21635
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    Explanations

    terms related to urban environments

    oai_token-act-pair · gpt-3.5-turbo

    references to urban environments and related concepts

    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
    etsk
    -0.91
    xon
    -0.86
    uden
    -0.84
    yip
    -0.82
    terday
    -0.81
    igham
    -0.80
    othal
    -0.79
    ï¸ı
    -0.79
    itars
    -0.78
    Downloadha
    -0.78
    POSITIVE LOGITS
     dwell
    0.91
    scape
    0.86
    ization
    0.86
     redevelopment
    0.83
     guerrilla
    0.82
    icity
    0.81
     urban
    0.80
     legend
    0.79
    ized
    0.79
     jungle
    0.78
    Activations Density 0.015%

    No Known Activations