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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. 8-RES-JB
    11. 4925
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    Explanations

    phrases related to addressing and dealing with various matters or issues

    oai_token-act-pair · gpt-3.5-turbo

    discussions about addressing problems or issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    fed
    -0.65
    rush
    -0.64
    ãĤ¦
    -0.61
     Golden
    -0.60
    vation
    -0.59
    ãĤª
    -0.58
     endorsements
    -0.57
     Glow
    -0.56
    ds
    -0.55
    roud
    -0.55
    POSITIVE LOGITS
     differently
    1.38
     responsibly
    1.32
     separately
    1.22
     satisf
    1.12
     appropriately
    1.11
     thoroughly
    1.11
     individually
    1.10
     properly
    1.10
     calmly
    1.08
     anew
    1.08
    Activations Density 0.444%

    No Known Activations