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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. 6-RES-JB
    11. 368
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    Explanations

    country names

    oai_token-act-pair · gpt-3.5-turbo

    names of people and places

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    amed
    -0.80
    aciously
    -0.77
    irts
    -0.76
    ipple
    -0.72
    ieth
    -0.70
    estate
    -0.69
    lying
    -0.69
    aku
    -0.68
    wered
    -0.68
    ths
    -0.67
    POSITIVE LOGITS
    rouch
    0.77
    nces
    0.76
    abbage
    0.69
    ancel
    0.69
    ursor
    0.69
     Rica
    0.68
     Cutter
    0.66
     Clicker
    0.64
    ortium
    0.63
    annabin
    0.63
    Activations Density 0.214%

    No Known Activations