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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. 1-RES-JB
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    Explanations

    mentions of engagement or involvement in various activities or contexts

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "engaged" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oos
    -0.69
    projects
    -0.69
    pled
    -0.68
    oa
    -0.65
    ough
    -0.64
    Origin
    -0.62
    effect
    -0.61
    issue
    -0.61
    oru
    -0.60
    ichael
    -0.60
    POSITIVE LOGITS
     engaged
    1.19
     engagement
    0.83
     engages
    0.80
    leground
    0.79
    lished
    0.77
    glomer
    0.76
    TAIN
    0.74
    rieved
    0.73
     encount
    0.72
    intosh
    0.72
    Activations Density 0.009%

    No Known Activations