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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. 3980
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    Explanations

    names of people or locations

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of individuals

    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
    ModLoader
    -0.81
    atically
    -0.72
    angered
    -0.66
     corrid
    -0.66
    ossier
    -0.64
    Mrs
    -0.62
    DonaldTrump
    -0.62
    ccording
    -0.61
    ggle
    -0.60
    LEASE
    -0.60
    POSITIVE LOGITS
     III
    0.98
     Jr
    0.95
    gren
    0.89
     aka
    0.86
     QC
    0.83
    enstein
    0.81
    berg
    0.81
     (@
    0.80
    etti
    0.80
     Sr
    0.80
    Activations Density 0.250%

    No Known Activations