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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. 11-RES-JB
    11. 17661
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    Explanations

    numerical values related to finance

    oai_token-act-pair · gpt-3.5-turbo

    numerical data and financial statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    geries
    -0.73
    amera
    -0.71
    bett
    -0.69
     retrie
    -0.65
    rera
    -0.63
    bell
    -0.61
    shots
    -0.60
    pak
    -0.59
     chron
    -0.57
     retri
    -0.57
    POSITIVE LOGITS
    /+
    1.40
    /-
    1.29
    dB
    1.07
     sqor
    1.02
    Ïĥ
    0.87
     dB
    0.87
    ï¸ı
    0.85
     Spoiler
    0.82
    Ïī
    0.82
    ,-
    0.80
    Activations Density 0.039%

    No Known Activations