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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. 0-RES-JB
    11. 7726
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    Explanations

    dates written in the format "Jan DD"

    oai_token-act-pair · gpt-3.5-turbo

    dates formatted in January

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    TPP
    -0.70
    alam
    -0.67
     spectator
    -0.66
    advertising
    -0.64
    peat
    -0.63
    pressed
    -0.61
    alogue
    -0.60
    THER
    -0.59
     absorb
    -0.59
    âĢ¦..
    -0.59
    POSITIVE LOGITS
     Jan
    3.46
    Jan
    2.83
     Feb
    2.37
     Nov
    2.15
     Dec
    1.98
     Jul
    1.96
     Oct
    1.96
     Apr
    1.93
     Aug
    1.92
     Sept
    1.86
    Activations Density 0.040%

    No Known Activations