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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. 3967
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    Explanations

    words related to concussions and agreements

    oai_token-act-pair · gpt-3.5-turbo

    terms related to concepts and consensus

    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
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    Negative Logits
    FINEST
    -0.73
    EStream
    -0.72
     Ames
    -0.71
    HY
    -0.70
    glers
    -0.67
    hyde
    -0.67
    wagen
    -0.66
     Unicorn
    -0.65
     Skydragon
    -0.63
    ged
    -0.63
    POSITIVE LOGITS
    urrency
    1.32
    ussions
    1.19
    urrencies
    1.14
    ensus
    1.05
    ourses
    1.03
    ieved
    1.01
    ourse
    1.00
    ategor
    1.00
    unction
    0.98
    cession
    0.97
    Activations Density 0.029%

    No Known Activations