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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. 8-RES-JB
    11. 4972
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    Explanations

    words related to design or design concepts

    oai_token-act-pair · gpt-3.5-turbo

    references to design concepts and considerations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ieri
    -0.78
     Lauder
    -0.77
    ICAN
    -0.76
    selves
    -0.72
     Sheen
    -0.70
     Adin
    -0.69
     Cele
    -0.69
    nikov
    -0.68
     Fishing
    -0.65
     Rutherford
    -0.65
    POSITIVE LOGITS
    ators
    1.11
    ator
    1.04
    ations
    0.99
    ating
    0.95
    ated
    0.94
    yout
    0.93
     flaws
    0.89
     flaw
    0.87
    ates
    0.86
     aesthetic
    0.85
    Activations Density 0.045%

    No Known Activations