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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. 6-RES-JB
    11. 5615
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    Explanations

    references to IQ levels

    oai_token-act-pair · gpt-3.5-turbo

    references to IQ and intelligence

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soDeliveryDate
    -0.80
    Crew
    -0.79
    href
    -0.78
     Soda
    -0.77
     Arabia
    -0.69
    ICA
    -0.68
    )=(
    -0.68
     Crew
    -0.67
    raine
    -0.67
    MY
    -0.64
    POSITIVE LOGITS
     quot
    1.24
     IQ
    0.95
     enrichment
    0.81
    IQ
    0.78
     enhancement
    0.75
     percentile
    0.73
    iencies
    0.71
    elligence
    0.70
     superiority
    0.70
    atsu
    0.70
    Activations Density 0.025%

    No Known Activations