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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. 2-RES-JB
    11. 12526
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    Explanations

    phrases related to future plans or potential opportunities

    oai_token-act-pair · gpt-3.5-turbo

    terms related to potential candidates or situations involving expectation and possibility

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    kar
    -0.81
    lua
    -0.79
    ifting
    -0.72
    lain
    -0.71
    cart
    -0.71
    TOP
    -0.71
    anguages
    -0.68
    ahi
    -0.65
    lang
    -0.64
    FactoryReloaded
    -0.64
    POSITIVE LOGITS
     prospective
    0.95
     traject
    0.91
    spective
    0.91
     cohort
    0.85
     seekers
    0.85
     elig
    0.82
     buyers
    0.82
     trajectory
    0.79
     prospects
    0.79
     applicants
    0.77
    Activations Density 0.008%

    No Known Activations