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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. 21766
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    Explanations

    words related to information retrieval or analysis

    oai_token-act-pair · gpt-3.5-turbo

    actions related to evaluation or assessment

    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
    ovie
    -0.80
    jet
    -0.72
    athi
    -0.72
    Bio
    -0.71
    conn
    -0.69
    rams
    -0.68
    oil
    -0.67
    here
    -0.65
    script
    -0.65
    bill
    -0.64
    POSITIVE LOGITS
     whether
    0.80
    ially
    0.75
    ively
    0.73
    lement
    0.70
     thresholds
    0.69
     determine
    0.68
     determines
    0.67
     how
    0.65
     Lauder
    0.65
    nda
    0.65
    Activations Density 0.018%

    No Known Activations