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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. 19065
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    Explanations

    proper nouns and organizations, especially names related to sports

    oai_token-act-pair · gpt-3.5-turbo

    references to unique and exceptional entities, such as individuals, teams, or countries in specific contexts

    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
     Friendship
    -0.68
     Dep
    -0.64
     Bang
    -0.63
     Klu
    -0.62
    tnc
    -0.62
     Nag
    -0.60
     Brist
    -0.60
     Dul
    -0.60
     Brass
    -0.59
     Maw
    -0.59
    POSITIVE LOGITS
     exempted
    0.83
     obligated
    0.80
     alive
    0.77
     surveyed
    0.76
     interviewed
    0.76
     whose
    0.76
     caught
    0.75
     permitted
    0.75
     eligible
    0.75
     elig
    0.74
    Activations Density 0.187%

    No Known Activations