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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. 7550
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    INDEX
    Explanations

    phrases denoting actions or processes that can be done or achieved easily and efficiently

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating the absence of certain conditions or obstacles

    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
    raq
    -0.94
    ounce
    -0.72
     Facts
    -0.72
    aez
    -0.72
    onen
    -0.72
    hai
    -0.70
    soon
    -0.69
    late
    -0.69
    lator
    -0.69
    elf
    -0.68
    POSITIVE LOGITS
     risking
    1.44
     sacrificing
    1.43
     harming
    1.39
     needing
    1.38
     compromising
    1.36
     worrying
    1.24
     relying
    1.22
     disrupting
    1.18
     bothering
    1.17
     requiring
    1.16
    Activations Density 0.050%

    No Known Activations