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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. 4-RES-JB
    11. 15797
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    Explanations

    specific calendar dates

    oai_token-act-pair · gpt-3.5-turbo

    references to time periods preceding significant events

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

    No Comments

    Negative Logits
    are
    -0.74
    hack
    -0.71
    area
    -0.69
    DC
    -0.67
    Offline
    -0.67
    Si
    -0.67
    aren
    -0.66
    SA
    -0.66
    acular
    -0.64
    Sense
    -0.64
    POSITIVE LOGITS
     sunset
    0.93
     sunrise
    0.90
     Thanksgiving
    0.81
     Christmas
    0.80
     noon
    0.78
    gey
    0.77
    lier
    0.74
     embark
    0.74
     halftime
    0.73
    noon
    0.72
    Activations Density 0.034%

    No Known Activations