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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. 1-RES-JB
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    Explanations

    mentions of the word "Earl" with different contexts and variations, potentially focusing on a particular individual named Earl

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the name "Earl" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    emb
    -0.78
     HuffPost
    -0.74
    Fact
    -0.68
    Gaza
    -0.67
     POLITICO
    -0.65
     CNN
    -0.65
     Iran
    -0.62
     DNC
    -0.62
    POS
    -0.62
    polit
    -0.61
    POSITIVE LOGITS
     Earl
    1.08
    ldom
    1.02
    owship
    0.91
     lapt
    0.90
    alties
    0.87
     oun
    0.83
    ©¶æ¥µ
    0.79
    awei
    0.78
     Halls
    0.77
    rys
    0.77
    Activations Density 0.003%

    No Known Activations