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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. 4-RES-JB
    11. 16431
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    Explanations

    the word "folks" in the text

    oai_token-act-pair · gpt-3.5-turbo

    references to groups of people or communities

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

    No Comments

    Negative Logits
    Weapon
    -0.64
    COMPLE
    -0.62
    onda
    -0.61
    Pakistan
    -0.61
    VL
    -0.60
    Course
    -0.59
     Supplement
    -0.59
    ICO
    -0.59
    Stre
    -0.58
     SER
    -0.58
    POSITIVE LOGITS
    folk
    0.88
    kies
    0.81
     who
    0.76
    hips
    0.75
     folks
    0.75
    selves
    0.74
    hots
    0.73
    sie
    0.73
    ingen
    0.72
    swick
    0.69
    Activations Density 0.011%

    No Known Activations