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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 8-RES-JB
    6. 23110
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    INDEX
    Explanations

    references to continuous or ongoing actions or events

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating ongoing processes or trends

    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
    ahime
    -0.81
    quer
    -0.79
    LCS
    -0.76
    lua
    -0.73
    fit
    -0.73
    arta
    -0.73
    md
    -0.73
    ooters
    -0.71
    ocene
    -0.71
    tag
    -0.70
    POSITIVE LOGITS
     insistence
    1.09
     scrutiny
    1.05
     reliance
    1.03
     absence
    1.00
     existence
    1.00
     exposure
    1.00
     presence
    0.98
     vigilance
    0.98
     harassment
    0.97
     inability
    0.96
    Activations Density 0.105%

    No Known Activations