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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. 7-RES-JB
    11. 8004
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    Explanations

    locations related to government or important events

    oai_token-act-pair · gpt-3.5-turbo

    references to the "Oval Office"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    terday
    -0.78
    weeney
    -0.72
    CVE
    -0.69
    velength
    -0.68
    haps
    -0.68
    TOR
    -0.67
    unks
    -0.66
    icia
    -0.66
    Ô
    -0.65
    ARP
    -0.65
    POSITIVE LOGITS
     Office
    0.88
     Oval
    0.86
    croft
    0.82
     office
    0.77
     Lawn
    0.76
    office
    0.76
     Depot
    0.75
    hurst
    0.74
     Room
    0.73
    holders
    0.72
    Activations Density 0.027%

    No Known Activations