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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 0-RES-JB
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    Explanations

    mentions of the word "Lam" with varying degrees of accuracy

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Lam" or variations of it

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    OTUS
    -0.76
    rss
    -0.69
    fw
    -0.68
    health
    -0.68
    ansas
    -0.67
    atically
    -0.64
    />
    -0.61
    Health
    -0.61
    uary
    -0.60
    STATE
    -0.60
    POSITIVE LOGITS
     Lam
    4.05
     lam
    1.94
     Lem
    1.30
     Lama
    1.27
     Ferr
    1.21
     Lum
    1.21
     Lau
    1.15
     Herm
    1.13
     Lambert
    1.12
     Lamb
    1.10
    Activations Density 0.011%

    No Known Activations