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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. 3-RES-JB
    11. 12334
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    Explanations

    references to rules, regulations, or requirements being applied to specific situations or entities

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate applicability or rules

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    footed
    -0.78
    arta
    -0.74
    prototype
    -0.68
    roman
    -0.66
    feeding
    -0.65
    airs
    -0.65
    quel
    -0.63
    *=-
    -0.63
    pod
    -0.63
     Trog
    -0.62
    POSITIVE LOGITS
     apply
    0.82
    ãģĨ
    0.78
     Apply
    0.77
    rences
    0.75
    akeru
    0.72
     eligibility
    0.70
     applications
    0.69
    verning
    0.69
     applied
    0.68
     visas
    0.68
    Activations Density 0.012%

    No Known Activations