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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. 10-RES-JB
    6. 19704
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    INDEX
    Explanations

    quotations from individuals

    oai_token-act-pair · gpt-3.5-turbo

    utilization of quotations in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥ¼ãĥĨ
    -0.71
    venth
    -0.69
    ãĥ¼ãĥĨãĤ£
    -0.64
    ems
    -0.59
    ensible
    -0.58
    acly
    -0.57
    filled
    -0.57
    irrel
    -0.56
     conflic
    -0.55
    Honest
    -0.55
    POSITIVE LOGITS
    :
    0.75
    :"
    0.74
     goodbye
    0.73
    :]
    0.71
    :'
    0.71
     "...
    0.68
    jriwal
    0.67
     Rohing
    0.66
     sarcast
    0.65
    ]:
    0.65
    Activations Density 0.189%

    No Known Activations