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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. 15855
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    Explanations

    phrases related to changes or fluctuations in quantities

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating increases in numerical values or metrics

    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
    çīĪ
    -0.75
    Planet
    -0.71
    æ³
    -0.69
    edin
    -0.69
    thing
    -0.66
    ctr
    -0.65
    iquette
    -0.64
    trap
    -0.63
    wcsstore
    -0.63
    soever
    -0.61
    POSITIVE LOGITS
    efficiency
    1.06
    effic
    0.91
     incidence
    0.88
     popularity
    0.86
     revenues
    0.84
    ordinate
    0.84
     revenue
    0.79
     intensity
    0.78
     circulation
    0.77
     concentration
    0.77
    Activations Density 0.086%

    No Known Activations