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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. 4-RES-JB
    11. 20633
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    Explanations

    specific names containing the letter "ó" and "Ã" alongside nearby words

    oai_token-act-pair · gpt-3.5-turbo

    repeated proper nouns or names, particularly those related to individuals or places

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

    No Comments

    Negative Logits
    pread
    -0.74
    ulative
    -0.72
    nut
    -0.71
    enhagen
    -0.70
    bler
    -0.69
    birth
    -0.69
    croft
    -0.68
    jri
    -0.68
    vantage
    -0.67
     tradem
    -0.67
    POSITIVE LOGITS
    ón
    1.06
    ica
    0.86
    uala
    0.85
    ite
    0.81
    ican
    0.79
    ita
    0.78
    essee
    0.77
    pour
    0.75
    ÃŃ
    0.75
    ional
    0.75
    Activations Density 0.012%

    No Known Activations