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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. 9-RES-JB
    11. 13756
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    Explanations

    terms related to data, research, sales, and various ongoing activities

    oai_token-act-pair · gpt-3.5-turbo

    terms related to data management, research, sales, and various constraints

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ernels
    -0.88
    lees
    -0.84
    rals
    -0.84
    comings
    -0.74
    nces
    -0.74
    tops
    -0.74
    riages
    -0.72
    Americans
    -0.72
    liners
    -0.71
    profits
    -0.71
    POSITIVE LOGITS
     standpoint
    1.02
     regimen
    0.85
     program
    0.81
     outlet
    0.81
     programme
    0.80
     pact
    0.79
     facility
    0.79
     nightmare
    0.78
     molecule
    0.77
     lesson
    0.77
    Activations Density 0.385%

    No Known Activations