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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. 9-RES-JB
    6. 9235
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    Explanations

    phrases related to experiences and perspectives

    oai_token-act-pair · gpt-3.5-turbo

    phrases relating to experiences and reflections on personal history

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    GET
    -0.68
     Hide
    -0.63
     poses
    -0.62
     Mane
    -0.61
     demands
    -0.61
     boast
    -0.61
     rumours
    -0.60
     scissors
    -0.60
    #$
    -0.60
     Haram
    -0.59
    POSITIVE LOGITS
     firsthand
    1.13
     experien
    0.96
     experience
    0.96
     intimately
    0.90
     researching
    0.90
    exper
    0.86
     anecd
    0.84
     myself
    0.83
     immersed
    0.81
     familiarity
    0.81
    Activations Density 0.486%

    No Known Activations