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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. 0-RES-JB
    6. 3111
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    Explanations

    mentions of specific locations or names

    oai_token-act-pair · gpt-3.5-turbo

    repeated instances of specific names and terms, particularly those related to named entities or brands

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    IFF
    -0.88
     DPR
    -0.76
    esp
    -0.69
     ASA
    -0.65
     crop
    -0.64
    pter
    -0.64
    iffs
    -0.63
     jams
    -0.63
    iff
    -0.62
     crust
    -0.62
    POSITIVE LOGITS
    alle
    2.33
     Nug
    1.47
     Nu
    1.47
    ÙĦ
    1.36
     Doe
    1.31
    uana
    1.22
    Lu
    1.09
     Louie
    1.04
    oleon
    1.04
    oxy
    1.02
    Activations Density 0.049%

    No Known Activations