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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. 4-RES-JB
    11. 8476
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    Explanations

    the name "Gene" followed by a number representing different levels of relevance

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Gene."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Demand
    -0.81
    uckland
    -0.77
    yrim
    -0.77
    committee
    -0.77
    etheless
    -0.75
    footed
    -0.75
    ulhu
    -0.75
    ahime
    -0.74
     Pradesh
    -0.74
    lain
    -0.74
    POSITIVE LOGITS
    alogy
    1.38
    alog
    1.15
    etics
    0.91
    Gene
    0.91
    etically
    0.85
    llo
    0.81
     Simmons
    0.80
     Gene
    0.78
     Lys
    0.77
     Smith
    0.76
    Activations Density 0.006%

    No Known Activations