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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. 1-RES-JB
    11. 11373
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    Explanations

    names or words related to specific individuals, potentially linked to news or media coverage

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Brien" and related individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    achusetts
    -0.74
    ammed
    -0.70
    ifted
    -0.68
    UME
    -0.67
     Gazette
    -0.65
    apes
    -0.64
    aped
    -0.64
     Thumbnails
    -0.62
    adr
    -0.60
    ulet
    -0.59
    POSITIVE LOGITS
    lin
    0.92
    Brien
    0.91
    stown
    0.90
    hler
    0.83
    gaard
    0.83
    ysis
    0.83
    legate
    0.82
    quist
    0.81
    quin
    0.80
    patrick
    0.80
    Activations Density 0.008%

    No Known Activations