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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. 1947
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    INDEX
    Explanations

    phrases related to improvement and enhancement

    oai_token-act-pair · gpt-3.5-turbo

    references to improvement in various contexts

    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
    umes
    -0.69
    bent
    -0.69
    ounces
    -0.64
    group
    -0.63
    pired
    -0.63
    odder
    -0.62
    NetMessage
    -0.62
    soDeliveryDate
    -0.61
     Sponsor
    -0.61
    mega
    -0.60
    POSITIVE LOGITS
     efficiency
    1.29
     reliability
    1.18
     quality
    1.18
     responsiveness
    1.15
     accuracy
    1.09
     resilience
    1.09
     hygiene
    1.07
     competitiveness
    1.05
     effectiveness
    1.03
     accessibility
    1.03
    Activations Density 0.218%

    No Known Activations