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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. 17399
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    Explanations

    phrases related to global locations or regions

    oai_token-act-pair · gpt-3.5-turbo

    references to locations or contexts related to various places and communities

    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
    xual
    -0.79
    inen
    -0.72
    staking
    -0.65
     Tigers
    -0.64
    ysis
    -0.64
    qua
    -0.63
    etts
    -0.63
    BT
    -0.62
     tatt
    -0.61
    nis
    -0.60
    POSITIVE LOGITS
     corners
    0.85
    abouts
    0.85
    eatures
    0.80
    clock
    0.77
    unin
    0.72
    perty
    0.70
    «
    0.64
    rend
    0.64
    world
    0.64
    =~=~
    0.64
    Activations Density 0.046%

    No Known Activations