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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. 10-RES-JB
    11. 11213
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    Explanations

    terms related to urban environments and urban development

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to urban environments and planning

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    xon
    -0.88
    terday
    -0.82
    etsk
    -0.76
    cius
    -0.76
    yip
    -0.76
     Canaver
    -0.75
    hemy
    -0.72
    utics
    -0.70
    arez
    -0.69
    kick
    -0.68
    POSITIVE LOGITS
    ization
    1.24
    ized
    1.13
    izing
    1.06
     dwell
    1.04
    isation
    1.03
     renewal
    1.01
    ites
    1.00
    izations
    1.00
     legends
    0.98
    scape
    0.94
    Activations Density 0.029%

    No Known Activations