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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 3-RES-JB
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    Explanations

    the name "Earl"

    oai_token-act-pair · gpt-3.5-turbo

    references to the name "Earl."

    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
    emb
    -0.75
    positive
    -0.68
    mbol
    -0.66
    KI
    -0.65
     Occupations
    -0.64
     HuffPost
    -0.64
     Kabul
    -0.63
     congen
    -0.61
     Economic
    -0.61
    Fact
    -0.61
    POSITIVE LOGITS
    owship
    0.93
    ldom
    0.91
    alties
    0.86
     Halls
    0.80
    hart
    0.79
    rey
    0.79
    istry
    0.79
    awei
    0.78
     Earl
    0.77
    wood
    0.76
    Activations Density 0.006%

    No Known Activations