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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. 6-RES-JB
    6. 3502
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    INDEX
    Explanations

    sentences related to personal beliefs or values

    oai_token-act-pair · gpt-3.5-turbo

    frequent references to "life" and its various conditions and contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    wi
    -0.65
     Hayden
    -0.63
     Preston
    -0.62
    yip
    -0.58
    arat
    -0.58
    azines
    -0.58
     repeatedly
    -0.57
    hops
    -0.56
     shops
    -0.55
     fielded
    -0.54
    POSITIVE LOGITS
    edly
    0.93
    enment
    0.81
    same
    0.77
    ATION
    0.75
    itarian
    0.75
    edIn
    0.74
     brunt
    0.73
    ATIONS
    0.73
    iously
    0.73
    ité
    0.73
    Activations Density 0.375%

    No Known Activations