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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
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    Explanations

    words related to negotiations and agreements

    oai_token-act-pair · gpt-3.5-turbo

    terms related to negotiations and discussions

    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
     silence
    -0.80
     magnet
    -0.70
     magnets
    -0.70
     dedicated
    -0.66
     enough
    -0.64
     focused
    -0.63
     presence
    -0.62
     centered
    -0.61
     Advent
    -0.61
     populated
    -0.61
    POSITIVE LOGITS
    oti
    4.61
    otiation
    2.57
     renegoti
    1.21
    adi
    1.08
     negoti
    1.07
    ott
    1.00
    otti
    0.98
    uti
    0.97
    otto
    0.96
    iti
    0.96
    Activations Density 0.016%

    No Known Activations