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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 2-RES-JB
    6. 20214
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    Explanations

    numeric values in the input text

    oai_token-act-pair · gpt-3.5-turbo

    numerical data and statistics

    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
    ãĥ¼ãĥĨãĤ£
    -0.60
     referen
    -0.56
     Vaugh
    -0.56
    ãĥ¼ãĥĨ
    -0.54
     disadvant
    -0.49
    edIn
    -0.47
    orno
    -0.47
     Seym
    -0.47
    idated
    -0.45
     Kik
    -0.45
    POSITIVE LOGITS
    taboola
    0.61
    NetMessage
    0.59
     DRAGON
    0.58
     DARK
    0.52
    SELECT
    0.51
    serv
    0.46
    BILITIES
    0.46
    7601
    0.46
    OFF
    0.46
    gal
    0.45
    Activations Density 0.716%

    No Known Activations