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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. 21688
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names of individuals

    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
     respectively
    -0.80
    $.
    -0.73
    SPONSORED
    -0.68
    }.
    -0.65
    Latest
    -0.61
    +.
    -0.60
     punishable
    -0.59
    âĢ¢âĢ¢âĢ¢âĢ¢
    -0.59
    Temperature
    -0.58
    FactoryReloaded
    -0.56
    POSITIVE LOGITS
    zinski
    0.88
    bard
    0.84
     (@
    0.84
    otti
    0.82
    erman
    0.81
    endor
    0.80
     wrote
    0.75
     Profile
    0.75
    gaard
    0.75
    hart
    0.74
    Activations Density 0.294%

    No Known Activations