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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. 7-RES-JB
    11. 3906
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    Explanations

    phrases related to names of individuals, potentially public figures

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of individuals, often related to high-profile figures or officials

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ounding
    -0.88
    ipeg
    -0.86
    sonian
    -0.84
    zag
    -0.82
    angers
    -0.82
    hiba
    -0.80
    istani
    -0.80
    Reviewer
    -0.79
    irtual
    -0.79
    ngth
    -0.77
    POSITIVE LOGITS
     Gomez
    1.08
     Moore
    1.00
     Rodgers
    0.97
     Fleming
    0.96
     Evans
    0.96
     Colbert
    0.96
     Roberts
    0.95
     Lawson
    0.95
     Robinson
    0.93
     Edwards
    0.92
    Activations Density 0.102%

    No Known Activations