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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. 19874
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    Explanations

    numbers written in hh:mm format

    oai_token-act-pair · gpt-3.5-turbo

    references to time, dates, or scheduling information

    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
     beat
    -0.65
     bump
    -0.64
     bumps
    -0.63
     allergic
    -0.63
    etooth
    -0.62
     blessing
    -0.61
     peek
    -0.61
     Ping
    -0.60
     fro
    -0.60
     spark
    -0.59
    POSITIVE LOGITS
    57
    2.95
    59
    2.94
    58
    2.91
    56
    2.78
    54
    2.54
    53
    2.53
    52
    2.50
    55
    2.44
    51
    2.40
    61
    2.18
    Activations Density 0.052%

    No Known Activations