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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. 5704
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    INDEX
    Explanations

    technical or quantitative terms related to measurements or standards

    oai_token-act-pair · gpt-3.5-turbo

    references to safety levels or thresholds regarding health or environmental standards

    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
    NetMessage
    -0.72
    love
    -0.71
    rir
    -0.69
    anan
    -0.68
    gallery
    -0.65
     unfold
    -0.64
    irit
    -0.64
    Appearances
    -0.64
    spin
    -0.63
    stories
    -0.63
    POSITIVE LOGITS
     achievable
    1.49
     threshold
    1.45
     thresholds
    1.43
     cutoff
    1.39
     minimum
    1.25
    minimum
    1.24
     maximum
    1.23
    Maximum
    1.23
    Minimum
    1.22
     guideline
    1.22
    Activations Density 0.487%

    No Known Activations