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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. 4-RES-JB
    11. 8590
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    Explanations

    phrases related to the word "Django"

    oai_token-act-pair · gpt-3.5-turbo

    references to the "Django" framework and related terminology

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

    No Comments

    Negative Logits
    abet
    -0.79
     sclerosis
    -0.75
    chem
    -0.73
    rations
    -0.71
     mathemat
    -0.71
    rible
    -0.70
     omission
    -0.69
    ochemical
    -0.68
     conduc
    -0.67
    rogen
    -0.67
    POSITIVE LOGITS
     Unch
    1.15
    ango
    0.92
     Lans
    0.80
     Strait
    0.79
     Fiesta
    0.77
    Berry
    0.77
    aroo
    0.74
     Beans
    0.74
    bats
    0.73
    vernment
    0.72
    Activations Density 0.016%

    No Known Activations