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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. 9063
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    Explanations

    proper nouns related to names or places

    oai_token-act-pair · gpt-3.5-turbo

    the repeated mention of specific names

    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
    76561
    -0.81
    lihood
    -0.81
    fare
    -0.74
    ×Ķ
    -0.72
    teen
    -0.70
    tered
    -0.70
    ×IJ
    -0.70
    fighter
    -0.69
    rium
    -0.67
    BOOK
    -0.66
    POSITIVE LOGITS
    rison
    0.99
     Morrison
    0.98
    quist
    0.82
    inson
    0.79
    edin
    0.77
     Leilan
    0.77
    shire
    0.76
    pheus
    0.75
    ison
    0.74
    igans
    0.72
    Activations Density 0.013%

    No Known Activations