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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. 5709
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    INDEX
    Explanations

    adjective-noun combinations describing a situation or condition

    oai_token-act-pair · gpt-3.5-turbo

    statements indicating certainty or truthfulness

    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
    ngth
    -0.94
    avin
    -0.74
    apons
    -0.74
    quartered
    -0.70
    çīĪ
    -0.70
    umbnails
    -0.69
    chev
    -0.67
    izabeth
    -0.67
    hover
    -0.67
    gren
    -0.66
    POSITIVE LOGITS
     happening
    1.03
     unintentional
    0.89
     coincidence
    0.81
     happen
    0.78
     untrue
    0.78
     happened
    0.76
     nonsense
    0.74
     happ
    0.73
     true
    0.71
     accomplished
    0.71
    Activations Density 0.382%

    No Known Activations