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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. 13979
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    Explanations

    phrases related to outdoor activities and locations

    oai_token-act-pair · gpt-3.5-turbo

    references to outdoor activities or settings

    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
    bourg
    -0.92
    orah
    -0.83
    awed
    -0.81
    leon
    -0.81
    chief
    -0.80
    uke
    -0.78
    erion
    -0.78
    ony
    -0.78
    enance
    -0.76
    ochet
    -0.75
    POSITIVE LOGITS
     recreation
    1.03
     patio
    0.95
     seating
    0.93
     outdoor
    0.82
     dining
    0.80
     pursuits
    0.78
     amph
    0.77
     enthusiasts
    0.77
     temperatures
    0.75
     rink
    0.74
    Activations Density 0.053%

    No Known Activations