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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. 4-RES-JB
    11. 15876
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    INDEX
    Explanations

    imperative statements or phrases that convey a strong sense of necessity

    oai_token-act-pair · gpt-3.5-turbo

    expressions indicating necessity or urgency in context

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

    No Comments

    Negative Logits
    kered
    -0.81
    ulet
    -0.81
    aido
    -0.74
    kers
    -0.73
    uddin
    -0.72
    ichen
    -0.72
    upt
    -0.71
    stood
    -0.71
    llah
    -0.70
    Hig
    -0.70
    POSITIVE LOGITS
     imperative
    1.25
     necessity
    0.87
     prerequisite
    0.76
     requirement
    0.76
     nexus
    0.74
     vigilance
    0.72
     importance
    0.72
     concern
    0.71
     coupling
    0.68
     obligation
    0.68
    Activations Density 0.005%

    No Known Activations