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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. 0-RES-JB
    11. 13914
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    INDEX
    Explanations

    mentions of dam-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to dams

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    irtual
    -0.76
     Zombies
    -0.73
     Employees
    -0.72
    gn
    -0.70
     Vanguard
    -0.70
     Employee
    -0.69
     Orbit
    -0.68
     Coverage
    -0.67
     Grimoire
    -0.67
     Rite
    -0.67
    POSITIVE LOGITS
     dam
    3.67
     dams
    2.45
     reservoir
    1.18
     canal
    1.07
     spoiler
    0.99
     leve
    0.98
     darn
    0.96
     uranium
    0.96
     salmon
    0.93
     reservoirs
    0.93
    Activations Density 0.011%

    No Known Activations