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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. 24010
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    Explanations

    phrases related to content creation, potentially including scripts, recipes, and copyright information

    oai_token-act-pair · gpt-3.5-turbo

    references to specific entities or characters

    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
     responsible
    -0.69
     Calder
    -0.67
     ACTION
    -0.57
     Clover
    -0.57
    DERR
    -0.57
     necessary
    -0.56
     Surge
    -0.56
     defunct
    -0.55
     progressing
    -0.55
    roit
    -0.55
    POSITIVE LOGITS
    atoon
    0.99
    pter
    0.96
    ffield
    0.91
    cer
    0.89
    udos
    0.80
    cific
    0.79
    raper
    0.76
    kered
    0.75
    hett
    0.74
    glers
    0.73
    Activations Density 0.055%

    No Known Activations