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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. 2661
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    Explanations

    phrases related to cooking techniques or procedures

    oai_token-act-pair · gpt-3.5-turbo

    references to processes and responsibilities related to societal and environmental impacts

    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
    ĭ
    -0.66
    Ħ
    -0.64
    ãĥ¼ãĥ
    -0.63
    ebin
    -0.63
    Ģ
    -0.63
    76561
    -0.62
    uko
    -0.62
    lyak
    -0.61
    Of
    -0.59
    ãĤ§
    -0.58
    POSITIVE LOGITS
     in
    0.68
     for
    0.65
    achy
    0.55
     inside
    0.55
     throughout
    0.48
     within
    0.48
     therein
    0.47
     amongst
    0.46
     overseeing
    0.45
    perature
    0.45
    Activations Density 0.920%

    No Known Activations