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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. 12135
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    Explanations

    mentions of "micro" with varying emphasis using different numbers

    oai_token-act-pair · gpt-3.5-turbo

    references to micro-level concepts or entities

    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
    igham
    -0.69
     await
    -0.67
    UAL
    -0.65
     Rex
    -0.62
     Randolph
    -0.61
     shortest
    -0.61
     shortened
    -0.60
     prominently
    -0.59
     cipher
    -0.59
     dearly
    -0.58
    POSITIVE LOGITS
    organisms
    1.33
    processor
    1.31
    seconds
    1.31
    chip
    1.27
    brew
    1.26
    gravity
    1.26
    cos
    1.25
    bial
    1.25
    controller
    1.24
    climate
    1.20
    Activations Density 0.015%

    No Known Activations