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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. 895
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    Explanations

    references to watches

    oai_token-act-pair · gpt-3.5-turbo

    mentions of various types of watches

    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
    Reviewer
    -0.92
    «ĺ
    -0.77
     congr
    -0.72
    Interstitial
    -0.71
    istically
    -0.70
    EngineDebug
    -0.68
    emia
    -0.65
    女
    -0.65
    bably
    -0.64
     chemotherapy
    -0.64
    POSITIVE LOGITS
    tower
    1.47
    dogs
    1.21
    dog
    1.19
    watch
    0.99
    points
    0.93
    strap
    0.91
    list
    0.90
    point
    0.89
    maker
    0.88
    fulness
    0.87
    Activations Density 0.046%

    No Known Activations