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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. 24391
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases that express intent or purpose

    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
    anon
    -0.68
     Solitaire
    -0.66
    redo
    -0.65
     Carbuncle
    -0.62
    Du
    -0.60
     Ruin
    -0.57
    士
    -0.55
     Serge
    -0.55
    juries
    -0.55
    tex
    -0.55
    POSITIVE LOGITS
     primarily
    0.77
     principally
    0.76
     solely
    0.76
     Parenthood
    0.74
    ysc
    0.69
     purely
    0.69
    lessly
    0.68
    Sov
    0.68
    ":"/
    0.67
    ãĤ±
    0.66
    Activations Density 0.044%

    No Known Activations