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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. 11-RES-JB
    11. 16356
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    Explanations

    references to specific sections or captions within a longer document

    oai_token-act-pair · gpt-3.5-turbo

    references to statistical data and numerical metrics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    dayName
    -0.65
    SpaceEngineers
    -0.62
    inventoryQuantity
    -0.54
     Nanto
    -0.53
    avement
    -0.52
    cially
    -0.52
    EStreamFrame
    -0.50
     trope
    -0.49
    ffen
    -0.47
    fman
    -0.47
    POSITIVE LOGITS
     46
    1.71
     54
    1.70
     34
    1.70
     39
    1.70
     37
    1.69
     41
    1.69
     43
    1.68
     53
    1.68
     36
    1.68
     33
    1.68
    Activations Density 0.944%

    No Known Activations