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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. 2831
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    Explanations

    references to intelligence levels and academic achievements, specifically related to IQ and PhD

    oai_token-act-pair · gpt-3.5-turbo

    references to intelligence measures and academic qualifications

    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
    flies
    -0.94
    tainment
    -0.76
    icity
    -0.76
    aneously
    -0.73
    tenance
    -0.69
     Edison
    -0.68
    iasis
    -0.67
    ãĥĨãĤ£
    -0.65
    prise
    -0.65
    combe
    -0.64
    POSITIVE LOGITS
    FP
    0.98
    TC
    0.94
    OOL
    0.94
    MI
    0.91
    BO
    0.91
    rint
    0.90
    BL
    0.90
    OTUS
    0.89
    REE
    0.89
    OC
    0.88
    Activations Density 0.046%

    No Known Activations