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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. 3-RES-JB
    11. 12494
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    Explanations

    words related to counting, summing, or totaling

    oai_token-act-pair · gpt-3.5-turbo

    words related to counting, totals, or quantities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Ô
    -0.82
    ACP
    -0.68
    Oracle
    -0.64
    ĨĴ
    -0.62
     seeker
    -0.62
     Invaders
    -0.61
    ļéĨĴ
    -0.61
     Counsel
    -0.60
     brokers
    -0.59
     convict
    -0.59
    POSITIVE LOGITS
    ems
    1.19
    emic
    1.05
    alling
    1.05
     tot
    1.03
    alled
    1.02
    imes
    1.00
    owa
    0.90
    ypes
    0.90
    itled
    0.89
     Tot
    0.87
    Activations Density 0.009%

    No Known Activations