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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
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    Explanations

    proper nouns or names related to the term "Lois"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific names or terms related to individuals and references in a legal or social context

    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
    undai
    -0.79
     srf
    -0.74
    razil
    -0.70
    bered
    -0.69
    ¥ŀ
    -0.67
    INAL
    -0.66
    ruciating
    -0.65
    icably
    -0.65
     hypertension
    -0.65
     Tampa
    -0.64
    POSITIVE LOGITS
    ois
    1.11
    clair
    1.00
    ette
    0.96
    elle
    0.92
    heet
    0.91
    naire
    0.90
    otle
    0.85
    grain
    0.84
    erv
    0.83
    xy
    0.81
    Activations Density 0.017%

    No Known Activations