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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. 3979
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    INDEX
    Explanations

    superlatives indicating the best or most in a particular category

    oai_token-act-pair · gpt-3.5-turbo

    references to prominent organizations or entities

    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
    bear
    -0.72
    acon
    -0.72
    worn
    -0.70
    zin
    -0.68
    Query
    -0.67
    clair
    -0.67
    ibl
    -0.67
    quit
    -0.67
    cu
    -0.66
    hyde
    -0.65
    POSITIVE LOGITS
     vicinity
    1.07
     world
    1.06
     midst
    1.05
     shortest
    1.03
     entire
    1.00
     realm
    0.95
     aftermath
    0.93
     nation
    0.93
     universe
    0.93
     slightest
    0.93
    Activations Density 0.130%

    No Known Activations