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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. 7-RES-JB
    11. 9785
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    Explanations

    phrases indicating a specific group of people for whom something is intended

    oai_token-act-pair · gpt-3.5-turbo

    phrases that begin with "For those," which suggests a focus on addressing or explaining things to specific audiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    maker
    -0.76
    ob
    -0.73
     Resolution
    -0.68
    OB
    -0.64
    atform
    -0.63
    ILY
    -0.62
    kamp
    -0.62
    forth
    -0.61
    arna
    -0.61
    jandro
    -0.60
    POSITIVE LOGITS
     wishing
    1.05
     interested
    0.95
     unfamiliar
    0.94
     redes
    0.93
     pesky
    0.92
     wanting
    0.88
     curious
    0.87
     purposes
    0.78
     buffs
    0.78
     brave
    0.76
    Activations Density 0.047%

    No Known Activations