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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. 13530
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    Explanations

    phrases related to routine or repetitive actions

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to frequency of occurrence or regularity

    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
    agra
    -0.74
     Patriarch
    -0.72
    atories
    -0.71
     Mour
    -0.66
    enic
    -0.65
    erness
    -0.65
     Skies
    -0.63
    asty
    -0.63
     Loch
    -0.62
     Gemini
    -0.61
    POSITIVE LOGITS
     basis
    0.96
     thereafter
    0.93
     occasions
    0.79
     throughout
    0.75
    iatus
    0.73
     contrad
    0.67
     consecut
    0.64
    uation
    0.64
     occas
    0.64
     concurrent
    0.62
    Activations Density 0.044%

    No Known Activations