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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. 4-RES-JB
    11. 2503
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    Explanations

    words related to standards and norms

    oai_token-act-pair · gpt-3.5-turbo

    standard-related terms and phrases indicating financial assessments or conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    utan
    -0.71
    idan
    -0.69
    ificantly
    -0.67
    antically
    -0.66
    inki
    -0.65
    olulu
    -0.64
    psey
    -0.64
    orically
    -0.64
    arling
    -0.63
     Lau
    -0.62
    POSITIVE LOGITS
    taboola
    0.95
     guiActiveUnfocused
    0.80
    ISA
    0.80
    Synopsis
    0.75
    WT
    0.75
    SPONSORED
    0.73
    Cola
    0.70
    Applic
    0.69
    Whe
    0.69
    ãĤ´ãĥ³
    0.69
    Activations Density 0.403%

    No Known Activations