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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. 16230
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    INDEX
    Explanations

    proper nouns, potentially names of people

    oai_token-act-pair · gpt-3.5-turbo

    names of individuals and organizations, particularly in the context of reporting or commentary

    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
    Not in Any Lists

    No Comments

    Negative Logits
    taboola
    -1.29
     guiActiveUnfocused
    -0.75
    CLASSIFIED
    -0.74
     interchangeable
    -0.69
    Cola
    -0.68
    BILITIES
    -0.68
    VOL
    -0.66
     predictive
    -0.64
    ICLE
    -0.64
     Cosponsors
    -0.64
    POSITIVE LOGITS
    inki
    1.11
    igans
    0.86
    iday
    0.83
    sworth
    0.82
    ournals
    0.80
    quarters
    0.78
    idan
    0.76
    igan
    0.75
    ogle
    0.70
    acan
    0.68
    Activations Density 0.567%

    No Known Activations