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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. 9-RES-JB
    11. 9079
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    Explanations

    bioethical terms

    oai_token-act-pair · gpt-3.5-turbo

    references to specific scientific or academic disciplines, particularly in the biosciences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    stage
    -0.74
    lain
    -0.71
    stood
    -0.70
    lift
    -0.66
    mitt
    -0.61
    ãĤ°
    -0.61
    ting
    -0.58
    tons
    -0.57
    ashtra
    -0.57
    ealing
    -0.57
    POSITIVE LOGITS
    ences
    1.08
    encia
    0.97
    otti
    0.94
    oglu
    0.93
    enza
    0.93
    ón
    0.89
    pe
    0.87
    ère
    0.86
    encing
    0.85
    ennes
    0.84
    Activations Density 0.032%

    No Known Activations