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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. 0-RES-JB
    11. 13459
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    Explanations

    phrases related to strict adherence or categorization

    oai_token-act-pair · gpt-3.5-turbo

    terms related to rules, regulations, or strictness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iddler
    -0.75
    anks
    -0.68
    ased
    -0.67
    apple
    -0.65
    aser
    -0.62
    fortune
    -0.61
    ulnerability
    -0.61
    herty
    -0.60
    aster
    -0.60
    caster
    -0.60
    POSITIVE LOGITS
     strictly
    3.33
     purely
    2.01
     strict
    1.44
     solely
    1.40
     tightly
    1.37
     exclusively
    1.34
     expressly
    1.32
     closely
    1.30
     loosely
    1.23
     explicitly
    1.22
    Activations Density 0.008%

    No Known Activations