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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. 12825
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    Explanations

    words related to rules, principles, norms, and guidance

    oai_token-act-pair · gpt-3.5-turbo

    terms related to adherence to rules and norms

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    BuyableInstoreAndOnline
    -0.68
    tein
    -0.64
    uable
    -0.62
     Aux
    -0.58
     interruption
    -0.57
     Wak
    -0.57
     collisions
    -0.55
    Middle
    -0.55
     Sie
    -0.55
     unwanted
    -0.54
    POSITIVE LOGITS
     faithfully
    1.08
     wherever
    0.95
     perfectly
    0.88
     ethos
    0.86
     laid
    0.83
     regardless
    0.82
     principles
    0.81
     ideals
    0.79
     outlined
    0.79
     rather
    0.79
    Activations Density 0.320%

    No Known Activations