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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. 2-RES-JB
    11. 5840
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    Explanations

    words related to mechanical equipment or specific technical terms

    oai_token-act-pair · gpt-3.5-turbo

    references to businesses or organizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    adden
    -0.74
     tire
    -0.69
     intensity
    -0.68
     calming
    -0.67
     anesthesia
    -0.66
     textile
    -0.66
     isot
    -0.65
     calc
    -0.65
     calibr
    -0.65
     tyre
    -0.64
    POSITIVE LOGITS
    ements
    1.01
    yright
    0.97
    ement
    0.96
    ership
    0.95
    itives
    0.94
    estone
    0.93
    estones
    0.93
    ific
    0.92
    DragonMagazine
    0.91
    aceae
    0.87
    Activations Density 0.023%

    No Known Activations