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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 24144
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    INDEX
    Explanations

    mentions of years or time references

    oai_token-act-pair · gpt-3.5-turbo

    references to specific timeframes and the concept of being a first or second-year in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    achine
    -0.82
    oother
    -0.78
    è¦ļéĨĴ
    -0.77
    sterdam
    -0.75
    UTF
    -0.73
    hots
    -0.73
    amera
    -0.73
    hess
    -0.69
    uid
    -0.69
    kil
    -0.67
    POSITIVE LOGITS
    tenance
    0.71
     affairs
    0.70
     tack
    0.67
    Cre
    0.66
     earners
    0.65
     imposition
    0.65
    cession
    0.64
     survival
    0.63
    Hold
    0.63
    fter
    0.62
    Activations Density 0.084%

    No Known Activations