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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. 10-RES-JB
    11. 16220
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    Explanations

    phrases related to significant events or incidents

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to significant events or actions that indicate consequences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    successful
    -0.69
     ARC
    -0.67
    Phase
    -0.64
     retiring
    -0.63
     Achieve
    -0.62
    iterator
    -0.62
    aterasu
    -0.61
     Prosper
    -0.61
     contracted
    -0.60
    ãĥĥãĥĪ
    -0.60
    POSITIVE LOGITS
     underscores
    1.35
     illustrates
    1.23
     begs
    1.21
     horr
    1.18
     baff
    1.16
     aston
    1.16
     raises
    1.14
     reinforces
    1.12
     demonstrates
    1.11
     suggests
    1.11
    Activations Density 0.481%

    No Known Activations