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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. 23812
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    Explanations

    phrases that indicate an increase in intensity or significance

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate abundance or intensity, particularly in terms of quantity or impact

    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
    agate
    -0.60
    yrinth
    -0.58
     Gardens
    -0.57
     assemb
    -0.56
     Lies
    -0.56
     foss
    -0.56
    Ħ¢
    -0.55
     Archives
    -0.55
    amiya
    -0.55
    nown
    -0.54
    POSITIVE LOGITS
     traction
    1.07
     mileage
    0.92
    ãĤ¼
    0.85
     attention
    0.79
     foothold
    0.78
    IFIED
    0.76
    ienced
    0.73
    ãĥĸ
    0.71
     notoriety
    0.69
    imentary
    0.68
    Activations Density 0.204%

    No Known Activations