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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. 5-RES-JB
    6. 22785
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    Explanations

    personal pronouns followed by actions or attributes in relation to a specific person

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals or questions about identity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    MER
    -0.82
    ³³³³
    -0.71
    BACK
    -0.71
    inence
    -0.67
     Glob
    -0.67
    âĶģ
    -0.66
    NB
    -0.66
    IVE
    -0.66
    OOL
    -0.65
    urb
    -0.65
    POSITIVE LOGITS
    soever
    0.95
     else
    0.83
     sorts
    0.80
     redes
    0.80
     exactly
    0.79
     vou
    0.73
     kinds
    0.73
     happened
    0.73
     ingred
    0.71
     exchanged
    0.70
    Activations Density 0.061%

    No Known Activations