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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
    6. 5846
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    Explanations

    timestamps in a format "+X" where X is a number, possibly related to progress or enhancements

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the character '+'

    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
    opol
    -0.68
     quotation
    -0.64
     Mr
    -0.64
    odic
    -0.63
     repr
    -0.62
    ouri
    -0.61
     �
    -0.60
     conspiracy
    -0.60
     caric
    -0.58
     ''
    -0.57
    POSITIVE LOGITS
    +
    3.75
    +.
    2.97
    +,
    2.95
    +)
    2.89
    +(
    2.04
    ++
    2.01
    +++
    1.94
     +
    1.89
    -+
    1.83
    )+
    1.67
    Activations Density 0.006%

    No Known Activations