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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. 6-RES-JB
    6. 15706
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    Explanations

    verbs related to achievements or victories

    oai_token-act-pair · gpt-3.5-turbo

    references to winning achievements or victories

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    heter
    -0.69
    erity
    -0.67
    appa
    -0.64
    tar
    -0.64
    tan
    -0.63
    uddy
    -0.60
    tools
    -0.60
     scanner
    -0.59
    resa
    -0.59
    alam
    -0.59
    POSITIVE LOGITS
    nings
    0.91
    ners
    0.82
    't
    0.81
     streak
    0.79
    throp
    0.79
    cest
    0.78
    ced
    0.78
     Gö
    0.72
     streaks
    0.72
    now
    0.71
    Activations Density 0.048%

    No Known Activations