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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 15243
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    Explanations

    phrases mentioning specific organizations or entities, such as "DHS," "UEFA," "SAP," "Adidas," "Rutgers," "Markus," "AWS," and "Hillary."

    oai_token-act-pair · gpt-3.5-turbo

    references to specific organizations and brands

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     marrow
    -0.83
    aquin
    -0.82
     Lancet
    -0.73
    bu
    -0.71
    venant
    -0.69
    zzi
    -0.68
    ocaust
    -0.67
    handled
    -0.66
     Manit
    -0.65
     Sop
    -0.65
    POSITIVE LOGITS
    STATE
    0.90
    opher
    0.79
    istant
    0.74
    IDA
    0.73
    REDACTED
    0.73
     Motorsport
    0.73
    CHAT
    0.72
    FW
    0.72
    enary
    0.71
    IVERS
    0.70
    Activations Density 0.029%

    No Known Activations