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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. 9200
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    Explanations

    phrases related to transforming urban spaces

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to urban transformation and community development

    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
     motions
    -0.79
     inexper
    -0.72
     pse
    -0.71
     behaviours
    -0.70
    Austral
    -0.70
    who
    -0.68
     assertions
    -0.67
     sentences
    -0.67
     statements
    -0.65
     strokes
    -0.63
    POSITIVE LOGITS
     sanctuary
    1.15
     residences
    1.09
     refuge
    1.05
     playground
    1.02
     headquarters
    1.01
     residence
    1.00
     birthplace
    1.00
     Mecca
    1.00
     Sanctuary
    0.99
     Mosque
    0.99
    Activations Density 0.349%

    No Known Activations