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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. 9888
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    Explanations

    dates in a specific format (Month Day, Year) followed by an event description

    oai_token-act-pair · gpt-3.5-turbo

    specific dates and events

    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
    etheless
    -0.76
     redes
    -0.76
    ĸļ
    -0.74
    ãĤ´ãĥ³
    -0.72
    ktop
    -0.67
    Ü
    -0.65
     appreciate
    -0.64
     abound
    -0.64
    *=-
    -0.63
    ersed
    -0.63
    POSITIVE LOGITS
    ths
    0.79
     gunmen
    0.63
     Klu
    0.62
    vez
    0.61
     Hyde
    0.61
     midnight
    0.60
     Militia
    0.59
    lein
    0.59
     however
    0.59
     Happ
    0.59
    Activations Density 0.185%

    No Known Activations