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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. 5731
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    Explanations

    hyphenated words representing ranges or categories

    oai_token-act-pair · gpt-3.5-turbo

    numeric values and descriptions related to measurements or quantities

    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
     simply
    -0.47
     wherever
    -0.46
     beforehand
    -0.46
     afterward
    -0.45
     elsewhere
    -0.45
    ,.
    -0.45
     afterwards
    -0.45
     might
    -0.43
     probably
    -0.43
     whatever
    -0.43
    POSITIVE LOGITS
    tailed
    0.73
    haired
    0.71
    initialized
    0.68
    mounted
    0.65
    skinned
    0.62
    activated
    0.61
    hander
    0.61
    insured
    0.61
    ranked
    0.60
    sized
    0.60
    Activations Density 0.326%

    No Known Activations