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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. 4803
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    INDEX
    Explanations

    financial and statistical information such as percentages, numbers, and currencies

    oai_token-act-pair · gpt-3.5-turbo

    numerical values and percentages within various contexts

    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
    20439
    -0.62
     Annotations
    -0.59
    ".[
    -0.57
    sted
    -0.55
     PCB
    -0.53
    IDENT
    -0.53
     playthrough
    -0.53
     Canterbury
    -0.52
    .")
    -0.52
     transformations
    -0.52
    POSITIVE LOGITS
     TBA
    0.77
    Plus
    0.74
     incl
    0.67
    FOX
    0.66
     pts
    0.64
    NAS
    0.63
    ppings
    0.62
    agan
    0.60
    Provider
    0.60
    Rating
    0.60
    Activations Density 0.106%

    No Known Activations