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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. 7-RES-JB
    11. 14078
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    INDEX
    Explanations

    phrases indicating intent, especially in the legal context

    oai_token-act-pair · gpt-3.5-turbo

    phrases associated with legal intent

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    cit
    -0.72
     Tycoon
    -0.71
     Solitaire
    -0.69
    java
    -0.67
    tex
    -0.66
    visor
    -0.65
    visors
    -0.63
    Du
    -0.60
     Medals
    -0.60
     Tornado
    -0.59
    POSITIVE LOGITS
    ality
    1.05
    ful
    0.99
    fulness
    0.91
    lessly
    0.90
     intent
    0.86
    ually
    0.81
    edly
    0.81
    reprene
    0.80
    quartered
    0.76
    ual
    0.76
    Activations Density 0.043%

    No Known Activations