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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. 19004
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    Explanations

    references to amenities, facilities, and services in a community setting

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to food and beverage offerings

    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
     Turing
    -0.74
     blindly
    -0.73
    sis
    -0.72
    Downloadha
    -0.71
     Canaver
    -0.70
     Manip
    -0.69
    ohm
    -0.68
    20439
    -0.67
    failed
    -0.67
     analysed
    -0.66
    POSITIVE LOGITS
     amenities
    1.24
     pav
    1.16
     cafes
    1.14
     festivals
    1.11
     gardens
    1.10
     picnic
    1.09
     festival
    1.09
     attractions
    1.06
     plaza
    1.05
     activities
    1.05
    Activations Density 0.372%

    No Known Activations