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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. 5015
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    Explanations

    proper names 'Jon'

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Jon."

    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
    holders
    -0.78
    doors
    -0.74
    graduate
    -0.70
    OTUS
    -0.70
    Environmental
    -0.69
    grades
    -0.65
    BACK
    -0.65
    ledged
    -0.65
    Uncommon
    -0.65
    feeding
    -0.64
    POSITIVE LOGITS
    athon
    1.14
    Ben
    0.97
    ason
    0.84
    atan
    0.84
    sey
    0.84
    nie
    0.83
    ny
    0.83
    athan
    0.83
    ovan
    0.82
    jon
    0.82
    Activations Density 0.006%

    No Known Activations