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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 23594
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    Explanations

    words related to laws, regulations, and legal terms

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word "frequency" and its related forms

    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
    kef
    -0.76
    sen
    -0.66
    ICLE
    -0.66
    oster
    -0.65
    \\\\\\\\
    -0.65
    osphere
    -0.65
    amiya
    -0.65
    STON
    -0.64
     Shine
    -0.62
    ij
    -0.61
    POSITIVE LOGITS
    encies
    1.36
    ency
    1.23
    uation
    0.83
    uations
    0.81
    fulness
    0.77
    uates
    0.77
    ibility
    0.73
    endment
    0.73
    ptoms
    0.73
    uality
    0.73
    Activations Density 0.014%

    No Known Activations