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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. 5706
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    INDEX
    Explanations

    actions related to sitting or being present in a particular location

    oai_token-act-pair · gpt-3.5-turbo

    instances of characters or people sitting

    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
    afort
    -0.78
    qua
    -0.72
    acity
    -0.72
    ãĥī
    -0.68
    £ı
    -0.68
    FK
    -0.67
     locality
    -0.64
     stunts
    -0.61
    prise
    -0.61
     Slater
    -0.60
    POSITIVE LOGITS
     watching
    0.94
     staring
    0.93
     gazing
    0.91
     seiz
    0.91
     waiting
    0.90
     awaiting
    0.88
     overlooking
    0.87
     enjoying
    0.85
     listening
    0.84
     contemplating
    0.84
    Activations Density 0.405%

    No Known Activations