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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. 9157
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    Explanations

    text related to personal experiences and reflections

    oai_token-act-pair · gpt-3.5-turbo

    narrative elements related to personal experiences

    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
    âĢ
    -1.01
     âĢ
    -0.91
    âĢł
    -0.77
    âĢİ
    -0.74
    onement
    -0.74
    âģ
    -0.73
    âĻ¦
    -0.72
    $$$$
    -0.69
    WAR
    -0.69
    ..................
    -0.69
    POSITIVE LOGITS
     unfamiliar
    1.04
     inexper
    1.01
     precon
    0.99
     initially
    0.98
     beginner
    0.96
     familiarity
    0.95
     beginners
    0.92
     inexperienced
    0.92
     intrigued
    0.89
     introdu
    0.89
    Activations Density 1.053%

    No Known Activations