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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. 11-RES-JB
    6. 2948
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    Explanations

    names of specific individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names and titles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    IUM
    -0.85
    SHARE
    -0.81
     SHARES
    -0.76
    INST
    -0.71
     OFFIC
    -0.68
     FUN
    -0.68
     NEXT
    -0.68
    SIZE
    -0.66
     FACE
    -0.63
    FACE
    -0.63
    POSITIVE LOGITS
    illard
    1.06
    arre
    0.96
    atson
    0.90
    quart
    0.88
    ennett
    0.86
    oldemort
    0.85
    opez
    0.84
    axter
    0.83
    iggs
    0.82
    arrett
    0.81
    Activations Density 0.089%

    No Known Activations