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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. 7-RES-JB
    6. 13
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    INDEX
    Explanations

    phrases related to achieving victory or success

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "win" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bian
    -0.66
     agg
    -0.59
     gearing
    -0.58
    rouch
    -0.57
    Factor
    -0.56
    miah
    -0.56
     lapse
    -0.56
    appa
    -0.56
     easing
    -0.55
     Dwell
    -0.55
    POSITIVE LOGITS
    now
    0.98
    nings
    0.89
    throp
    0.88
    ced
    0.84
    ners
    0.80
    ces
    0.79
    atown
    0.78
    ests
    0.76
    cing
    0.73
    hardt
    0.73
    Activations Density 0.049%

    No Known Activations