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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. 0-RES-JB
    11. 16938
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    Explanations

    words related to issues or conditions being "laden" or "ridden" with something

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate a high level of burden or overload

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     repeat
    -0.69
     candle
    -0.65
     minimum
    -0.65
     tooth
    -0.62
    Skill
    -0.62
     tamp
    -0.61
     Wii
    -0.60
     Values
    -0.60
    wcsstore
    -0.60
     gender
    -0.59
    POSITIVE LOGITS
    laden
    3.35
    ridden
    3.13
     ridden
    1.97
     stricken
    1.57
    loaded
    1.36
     lad
    1.29
    prone
    1.20
    iddled
    1.20
     riddled
    1.13
     laced
    1.09
    Activations Density 0.040%

    No Known Activations