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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. 3-RES-JB
    6. 22342
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    Explanations

    mentions of specific names or surnames, especially when followed by numbers

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of a particular name or term associated with people or entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     glim
    -0.75
    Subject
    -0.73
    IDENT
    -0.73
    glass
    -0.71
     narrator
    -0.70
    Þ
    -0.69
     à¨
    -0.68
    icist
    -0.66
    IAL
    -0.66
     iPads
    -0.66
    POSITIVE LOGITS
    zzi
    1.26
    ppa
    1.06
    zzo
    1.03
    pps
    1.03
    ichi
    0.96
    eta
    0.93
    opa
    0.92
    ÅĤ
    0.92
    ek
    0.91
    ven
    0.91
    Activations Density 0.008%

    No Known Activations