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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. 10-RES-JB
    11. 12364
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    Explanations

    images, videos, or information that has surfaced or emerged recently

    oai_token-act-pair · gpt-3.5-turbo

    references to specific videos or images depicting events or individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    regulated
    -0.72
    verning
    -0.69
     prescriptions
    -0.67
     clauses
    -0.66
    iencies
    -0.65
     decisions
    -0.65
     principals
    -0.63
    ETHOD
    -0.63
    steen
    -0.63
    BUS
    -0.62
    POSITIVE LOGITS
     depicting
    1.34
     uploaded
    1.25
     img
    1.19
     caption
    1.18
     depicts
    1.16
     cropped
    1.15
     blurry
    1.13
    reenshot
    1.12
     depict
    1.10
     circulated
    1.10
    Activations Density 0.338%

    No Known Activations