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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. 11-RES-JB
    11. 16306
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    Explanations

    dates written in a specific format, followed by information about events or occurrences

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to significant events or situations that elicit a strong response

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Canaver
    -0.63
     theirs
    -0.60
     someday
    -0.56
     Armageddon
    -0.56
     worthless
    -0.55
     externalToEVAOnly
    -0.54
    chwitz
    -0.54
     anyway
    -0.53
     gimmick
    -0.52
     parach
    -0.51
    POSITIVE LOGITS
    âĢ
    1.13
     âĢ
    1.01
     âĹı
    0.81
     âĸº
    0.79
    â
    0.78
    âĸº
    0.78
    âĢł
    0.72
    âĸ
    0.71
     âĸ
    0.70
     â
    0.69
    Activations Density 1.339%

    No Known Activations