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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. 7-RES-JB
    11. 19174
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    Explanations

    time-related phrases indicating future events

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating future timeframes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    minster
    -0.81
     Ahead
    -0.63
    Os
    -0.63
    POL
    -0.62
    iard
    -0.61
    osite
    -0.61
    enf
    -0.61
     Luck
    -0.61
    vp
    -0.59
    Cle
    -0.59
    POSITIVE LOGITS
     millennia
    0.98
     horizon
    0.93
     period
    0.92
     decades
    0.88
     periods
    0.88
     centuries
    0.87
    hang
    0.85
     years
    0.81
     hump
    0.79
     generations
    0.79
    Activations Density 0.161%

    No Known Activations