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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. 5-RES-JB
    6. 12219
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    Explanations

    words related to solving or addressing problems

    oai_token-act-pair · gpt-3.5-turbo

    terms related to goals, problems, and challenges

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Speedway
    -0.60
    ãĥ³ãĤ¸
    -0.60
    ãĤ¨ãĥ«
    -0.57
    pen
    -0.57
     Faces
    -0.57
    brook
    -0.56
    joice
    -0.56
     originals
    -0.55
     veggies
    -0.55
     Doors
    -0.55
    POSITIVE LOGITS
    antage
    0.75
    cture
    0.73
    iatus
    0.72
    ality
    0.71
    icio
    0.69
    itism
    0.69
    isphere
    0.67
    iety
    0.64
     firsthand
    0.64
    undrum
    0.63
    Activations Density 0.264%

    No Known Activations