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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 8-RES-JB
    11. 4991
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    Explanations

    code snippets and characters used for programming or markup language

    oai_token-act-pair · gpt-3.5-turbo

    character sequences and patterns typical in code or markup language

    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
    atform
    -0.80
     Manson
    -0.73
     Vide
    -0.64
     Divide
    -0.63
    iasis
    -0.63
     Dynamics
    -0.62
    esis
    -0.61
     Floor
    -0.61
    kinson
    -0.61
     slic
    -0.60
    POSITIVE LOGITS
    taboola
    1.10
    blank
    1.01
    default
    0.85
    webkit
    0.85
    main
    0.84
    LINE
    0.84
    canon
    0.84
    RANT
    0.83
    dict
    0.81
    train
    0.81
    Activations Density 0.029%

    No Known Activations