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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. 3-RES-JB
    11. 8359
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    Explanations

    specific mentions of conventions

    oai_token-act-pair · gpt-3.5-turbo

    references to conventions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    undai
    -0.71
    bole
    -0.71
    lasses
    -0.70
    cam
    -0.68
    utenberg
    -0.66
    tera
    -0.65
    erenn
    -0.64
    hner
    -0.60
    roxy
    -0.60
     4090
    -0.60
    POSITIVE LOGITS
     convention
    1.25
    eers
    1.17
     conventions
    1.03
     Convention
    1.02
     delegates
    0.86
    arium
    0.85
    icity
    0.79
     hall
    0.79
    naire
    0.79
    ional
    0.78
    Activations Density 0.009%

    No Known Activations