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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. 2613
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    INDEX
    Explanations

    names, likely locations or entities

    oai_token-act-pair · gpt-3.5-turbo

    references to specific geographic locations or associated institutions

    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
    taboola
    -0.81
    ãĥīãĥ©ãĤ´ãĥ³
    -0.77
    ioxide
    -0.69
    ciating
    -0.67
     Resp
    -0.66
     Expend
    -0.66
    ctica
    -0.64
    BILITY
    -0.61
     Vengeance
    -0.60
    =-=-=-=-
    -0.59
    POSITIVE LOGITS
    inki
    0.95
    abee
    0.86
    acan
    0.80
    icultural
    0.80
    igans
    0.79
    quarters
    0.79
    awei
    0.79
    kamp
    0.74
    angs
    0.71
    iday
    0.71
    Activations Density 0.120%

    No Known Activations