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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. 6-RES-JB
    11. 7376
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    Explanations

    references to high-level government locations and interactions, particularly related to the Oval Office

    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 @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    HCR
    -0.75
    terday
    -0.72
    weeney
    -0.71
    TOR
    -0.70
    ictions
    -0.69
    icia
    -0.68
    ARP
    -0.66
     GOODMAN
    -0.66
    CVE
    -0.65
    itism
    -0.65
    POSITIVE LOGITS
     Oval
    0.96
     Office
    0.78
    croft
    0.77
    shaped
    0.73
     Depot
    0.73
    lace
    0.71
    nuts
    0.70
     Lawn
    0.70
    borough
    0.70
    robe
    0.69
    Activations Density 0.015%

    No Known Activations