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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. 11-RES-JB
    11. 20617
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    Explanations

    verbs related to improvement or enhancement

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to enhancement or improvement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DragonMagazine
    -1.00
    mad
    -0.81
    sbm
    -0.75
    Sham
    -0.75
    raid
    -0.74
    tics
    -0.70
    thing
    -0.67
    ilk
    -0.66
    soDeliveryDate
    -0.65
    fur
    -0.65
    POSITIVE LOGITS
     productivity
    1.31
     efficiency
    1.29
     visibility
    1.14
     competitiveness
    1.13
     morale
    1.09
     profitability
    1.08
     throughput
    1.07
     awareness
    1.05
     longevity
    1.03
     chances
    1.03
    Activations Density 0.113%

    No Known Activations