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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. 9637
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    Explanations

    names of individuals or entities

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and names associated with individuals or entities

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ents
    -0.86
    rament
    -0.82
    uous
    -0.78
    ENTS
    -0.74
    ainers
    -0.73
     Aires
    -0.73
    ivity
    -0.72
    busters
    -0.71
    rious
    -0.71
    ibles
    -0.71
    POSITIVE LOGITS
    awar
    0.91
    astern
    0.80
    cloth
    0.77
    uph
    0.71
    ãģĨ
    0.70
     circulate
    0.69
    tera
    0.69
    accompan
    0.69
    hattan
    0.69
    ilitary
    0.66
    Activations Density 0.027%

    No Known Activations