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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. 13279
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    Explanations

    dates written in the format "Dec d"

    oai_token-act-pair · gpt-3.5-turbo

    references to specific dates

    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
    lla
    -0.73
    hart
    -0.68
    athan
    -0.66
     standby
    -0.64
     NG
    -0.63
     territory
    -0.63
     accounts
    -0.63
    hood
    -0.62
     Wang
    -0.61
     allotted
    -0.61
    POSITIVE LOGITS
    Dec
    3.41
    dec
    1.98
    DEC
    1.57
    Enc
    1.54
     Dec
    1.31
    Nov
    1.17
     Decoder
    1.14
    Oct
    1.11
    Jan
    1.10
     decode
    1.07
    Activations Density 0.020%

    No Known Activations