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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. 1-RES-JB
    11. 5250
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    Explanations

    keywords related to software programming, particularly those related to setting configurations and variables

    oai_token-act-pair · gpt-3.5-turbo

    commands or settings in a technical context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Biblical
    -0.68
    Scot
    -0.66
    assic
    -0.64
     vain
    -0.62
     tears
    -0.60
     blunt
    -0.60
    minster
    -0.60
     sav
    -0.59
     Aram
    -0.58
     athe
    -0.57
    POSITIVE LOGITS
     showc
    1.12
     Set
    0.99
    TING
    0.93
    ters
    0.93
    set
    0.89
    Set
    0.89
    Timeout
    0.88
     Sets
    0.85
    tle
    0.80
    ets
    0.77
    Activations Density 0.024%

    No Known Activations