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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. 9-RES-JB
    11. 23815
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    INDEX
    Explanations

    Hyphenated words and phrases

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to a specific university or institution, possibly U-Va

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    forth
    -0.65
    oqu
    -0.63
    uez
    -0.62
    ulhu
    -0.62
    ilial
    -0.62
    ãĥ¼ãĥĨãĤ£
    -0.62
    agna
    -0.59
    hetti
    -0.59
    ãĥ¼ãĥĨ
    -0.56
    bourg
    -0.56
    POSITIVE LOGITS
    turn
    0.92
    shaped
    0.88
    Va
    0.77
    §
    0.77
    Turn
    0.76
    tailed
    0.76
    Conn
    0.75
    ĭ
    0.74
    verse
    0.71
    look
    0.71
    Activations Density 0.035%

    No Known Activations