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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. 18101
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    Explanations

    references to intelligence levels and IQ scores

    oai_token-act-pair · gpt-3.5-turbo

    references to intelligence and IQ scores

    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
    soDeliveryDate
    -0.80
     Soda
    -0.74
     Arabia
    -0.68
    raine
    -0.68
    abee
    -0.67
    href
    -0.65
    ICA
    -0.65
    lined
    -0.64
     Bundy
    -0.63
    akeru
    -0.63
    POSITIVE LOGITS
     quot
    1.36
    lycer
    0.81
    elligence
    0.80
    elligent
    0.77
    ively
    0.77
    otle
    0.75
    IQ
    0.74
     IQ
    0.72
     enrichment
    0.71
    ibility
    0.69
    Activations Density 0.066%

    No Known Activations