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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. 20690
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    Explanations

    phrases related to efficiency and cost reduction in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to cost reduction and efficiency 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
    Kind
    -0.72
    haps
    -0.71
    ONSORED
    -0.71
    Led
    -0.70
    atri
    -0.67
    apons
    -0.67
     Alive
    -0.66
     reinstated
    -0.66
    Newsletter
    -0.65
    uve
    -0.65
    POSITIVE LOGITS
     clutter
    1.41
     downtime
    1.35
     hassle
    1.28
     wasted
    1.25
     duplication
    1.24
     wast
    1.24
     headaches
    1.23
     latency
    1.21
     unnecessary
    1.20
     distractions
    1.19
    Activations Density 0.261%

    No Known Activations