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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 8-RES-JB
    6. 409
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    Explanations

    positive descriptive words related to quality or stability

    oai_token-act-pair · gpt-3.5-turbo

    words or phrases describing stability and reliability

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Robots
    -0.74
     challeng
    -0.73
     incorrectly
    -0.71
    Reloaded
    -0.69
    Ĥİ
    -0.67
    Downloadha
    -0.67
     Unch
    -0.66
     anew
    -0.65
     Noir
    -0.64
    =~
    -0.62
    POSITIVE LOGITS
    est
    1.22
    ness
    1.07
    ener
    1.02
    nesses
    1.02
    ening
    1.01
    ling
    1.00
    hearted
    0.97
    ament
    0.95
    lings
    0.92
    itude
    0.90
    Activations Density 0.290%

    No Known Activations