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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. 8013
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    INDEX
    Explanations

    mentions of prestigious or lucrative opportunities, awards, or institutions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to esteemed or high-value opportunities and achievements

    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
    weak
    -0.74
    stock
    -0.71
    strate
    -0.70
     coli
    -0.70
    Mars
    -0.70
    plant
    -0.68
    Radio
    -0.68
    Station
    -0.68
    Faith
    -0.67
    harm
    -0.65
    POSITIVE LOGITS
    cffff
    0.87
     prizes
    0.84
     sophistic
    0.83
     accol
    0.81
     culinary
    0.79
     luxury
    0.77
     endorsements
    0.76
     pric
    0.75
     awards
    0.72
     endorsement
    0.72
    Activations Density 0.056%

    No Known Activations