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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. 18905
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    INDEX
    Explanations

    instances of criticism or accusations of failure to meet expectations or responsibilities

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a lack of compliance or failure to meet expectations

    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
    clips
    -0.73
    NetMessage
    -0.69
     Rouge
    -0.67
    emonium
    -0.66
     Rou
    -0.65
    laughter
    -0.64
    Strange
    -0.63
     fluctuations
    -0.63
     wonders
    -0.62
    WER
    -0.61
    POSITIVE LOGITS
     adequately
    1.46
     properly
    1.32
     sufficiently
    1.26
     timely
    1.22
     appropriately
    1.05
     heed
    1.01
     consulted
    0.99
     correctly
    0.99
     adequate
    0.96
     truthful
    0.96
    Activations Density 0.205%

    No Known Activations