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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. 17543
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    Explanations

    expressions related to progress or advancement towards a destination or goal

    oai_token-act-pair · gpt-3.5-turbo

    references to legislative processes or bills progressing through government channels

    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
    iece
    -0.67
    isky
    -0.66
     assured
    -0.65
    itness
    -0.62
    maid
    -0.62
    VIDIA
    -0.61
    lear
    -0.60
    Password
    -0.60
    Percent
    -0.60
     aback
    -0.60
    POSITIVE LOGITS
     shelves
    1.25
     circulation
    1.16
     inbox
    0.92
     fruition
    0.92
     theaters
    0.87
    boxes
    0.86
     supermarkets
    0.82
     shores
    0.82
     stores
    0.81
     landfill
    0.80
    Activations Density 0.343%

    No Known Activations