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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. 19901
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    Explanations

    numerical values embedded in text

    oai_token-act-pair · gpt-3.5-turbo

    numerical values with specific significance, such as timeframes or quantities

    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
    ogyn
    -0.64
    rolet
    -0.61
     Jagu
    -0.60
    Scot
    -0.57
    FontSize
    -0.56
    romeda
    -0.56
     Lash
    -0.56
     Canaver
    -0.56
    otine
    -0.56
    ocracy
    -0.55
    POSITIVE LOGITS
    nd
    1.18
    ½
    1.10
    WD
    1.08
    rd
    1.05
    200
    1.00
    yrs
    0.98
    âĺħ
    0.96
    ÃĹ
    0.96
    500
    0.93
    x
    0.91
    Activations Density 0.175%

    No Known Activations