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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. 24538
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    Explanations

    dates written in a specific format

    oai_token-act-pair · gpt-3.5-turbo

    references to specific events, games, or political elections

    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
    enta
    -0.52
    cel
    -0.52
    sels
    -0.51
    cro
    -0.50
    reprene
    -0.50
     crystals
    -0.48
    nir
    -0.47
    ke
    -0.47
     beverage
    -0.46
    lene
    -0.45
    POSITIVE LOGITS
     respectively
    0.71
     onwards
    0.67
    anwhile
    0.52
     onward
    0.51
    ģ«
    0.50
    aturdays
    0.50
     millenn
    0.49
     preceded
    0.49
    artney
    0.47
     Apostles
    0.47
    Activations Density 1.067%

    No Known Activations