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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. 2-RES-JB
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    Explanations

    proper nouns of people's names

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Murdoch
    -0.69
    EStreamFrame
    -0.64
    conn
    -0.64
    phrine
    -0.62
     germ
    -0.61
    ãĥĩãĤ£
    -0.61
    brush
    -0.61
    jured
    -0.61
     Mans
    -0.61
     dismissal
    -0.61
    POSITIVE LOGITS
    ernaut
    0.96
    inyl
    0.92
    inx
    0.91
    oros
    0.86
    inho
    0.85
    ivas
    0.83
    inant
    0.83
    ania
    0.83
    anes
    0.81
    onite
    0.80
    Activations Density 0.027%

    No Known Activations