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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. 0-RES-JB
    11. 8060
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    Explanations

    proper nouns, particularly names like "George"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "George," indicating a focus on individuals with that name

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     mixed
    -0.69
     checkpoint
    -0.64
     Fire
    -0.64
     Mult
    -0.63
     craw
    -0.63
     2018
    -0.62
    glers
    -0.62
     pits
    -0.61
     Mud
    -0.61
     special
    -0.61
    POSITIVE LOGITS
    George
    3.23
    Martin
    1.27
    Georg
    1.26
    Church
    1.13
    Fran
    1.13
    Ron
    1.12
    Stan
    1.07
    Anthony
    1.05
    Richard
    1.05
    Michelle
    1.04
    Activations Density 0.021%

    No Known Activations