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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. 16913
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    Explanations

    historical events or origins of things

    oai_token-act-pair · gpt-3.5-turbo

    references to historical dates and timelines

    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
    ©¶æ¥µ
    -0.81
    mask
    -0.74
    accompanied
    -0.71
    queue
    -0.71
    Īè
    -0.69
    natureconservancy
    -0.68
    reau
    -0.68
    ograp
    -0.68
     reminded
    -0.68
    ese
    -0.67
    POSITIVE LOGITS
     antiquity
    0.75
     Fundamental
    0.69
    âĵĺ
    0.65
     Frankfurt
    0.65
     necessity
    0.65
     Proto
    0.64
     Pap
    0.63
     definite
    0.61
    ushima
    0.61
     tradition
    0.60
    Activations Density 0.151%

    No Known Activations