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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. 9-RES-JB
    11. 13685
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    Explanations

    topics related to awareness or knowledge

    oai_token-act-pair · gpt-3.5-turbo

    instances of awareness related to information or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uckles
    -0.76
    quer
    -0.75
    wark
    -0.71
    phabet
    -0.69
    ibaba
    -0.65
    soever
    -0.62
    luster
    -0.62
    ride
    -0.61
    obar
    -0.61
    rones
    -0.60
    POSITIVE LOGITS
     impending
    1.37
     dangers
    1.27
     existence
    1.26
     danger
    1.14
     plight
    1.07
     possibility
    1.03
     pitfalls
    1.02
     imminent
    0.99
     limitations
    0.99
     vulnerability
    0.96
    Activations Density 0.313%

    No Known Activations