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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. 5881
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    INDEX
    Explanations

    opportunities or chances

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating opportunities or experiences

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
    lying
    -0.73
    phabet
    -0.70
    ————
    -0.67
    ulkan
    -0.67
    aday
    -0.62
     demonstrating
    -0.61
     ********************************
    -0.60
    strate
    -0.60
    margin
    -0.60
    ISTORY
    -0.59
    POSITIVE LOGITS
     opportunity
    1.55
     pleasure
    1.44
     privilege
    1.42
     misfortune
    1.39
     chance
    1.30
     urge
    1.18
     displeasure
    1.08
     honor
    1.07
     option
    1.06
     courage
    1.05
    Activations Density 0.118%

    No Known Activations