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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. 8-RES-JB
    11. 5022
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    Explanations

    references to personal perspectives or actions

    oai_token-act-pair · gpt-3.5-turbo

    pronouns and references to personal experiences or actions

    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
    noon
    -0.72
    mon
    -0.66
    church
    -0.65
    whel
    -0.61
    bender
    -0.61
    aston
    -0.59
     Nationwide
    -0.58
     permitting
    -0.57
    mony
    -0.57
     Dres
    -0.57
    POSITIVE LOGITS
     learnt
    0.91
    've
    0.88
     wrought
    0.86
     accomplished
    0.82
     ate
    0.81
     learned
    0.79
     happened
    0.78
     fuss
    0.78
     termed
    0.78
     perceive
    0.77
    Activations Density 0.128%

    No Known Activations