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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. 2-RES-JB
    6. 17924
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    Explanations

    names of people or characters

    oai_token-act-pair · gpt-3.5-turbo

    names and references to specific individuals or characters

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    loo
    -0.83
    orthy
    -0.81
    nikov
    -0.80
    atile
    -0.78
    leader
    -0.76
    brance
    -0.76
    ndra
    -0.75
    ophers
    -0.74
    opers
    -0.74
    arity
    -0.74
    POSITIVE LOGITS
    rawl
    0.77
     print
    0.77
     Print
    0.76
     Fey
    0.73
     Suns
    0.70
    astical
    0.69
     Mia
    0.69
    Downloadha
    0.68
    ointed
    0.67
     Dia
    0.67
    Activations Density 0.028%

    No Known Activations