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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. 23085
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    INDEX
    Explanations

    terms related to foundational elements or the central essence of a concept or entity

    oai_token-act-pair · gpt-3.5-turbo

    the concept of "core" in 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
    hops
    -0.78
     Laksh
    -0.72
    ilon
    -0.71
    arbon
    -0.68
    airs
    -0.68
    pload
    -0.68
    chin
    -0.68
    oping
    -0.66
    aping
    -0.65
    renheit
    -0.65
    POSITIVE LOGITS
     tenets
    1.13
     principles
    1.02
     premise
    0.98
     principle
    0.94
     fundamentals
    0.93
     concepts
    0.92
     compet
    0.91
     essence
    0.90
     belief
    0.89
     beliefs
    0.89
    Activations Density 0.041%

    No Known Activations