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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. 11-RES-JB
    11. 11838
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    Explanations

    sentences related to errors and sentences related to legal sentences

    oai_token-act-pair · gpt-3.5-turbo

    instances of legal or formal sentences related to offenses and sentences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     eleph
    -1.08
    ß
    -0.92
    Þ
    -0.87
     streng
    -0.85
     exting
    -0.85
     tremend
    -0.83
     Antar
    -0.83
     pione
    -0.80
     occas
    -0.79
     metic
    -0.78
    POSITIVE LOGITS
    uction
    0.93
    ference
    0.92
    ject
    0.91
    ruption
    0.90
    ename
    0.89
    gment
    0.88
    itionally
    0.87
    ention
    0.86
    ension
    0.85
    emption
    0.85
    Activations Density 0.124%

    No Known Activations