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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. 11009
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    INDEX
    Explanations

    verbs related to performing actions

    oai_token-act-pair · gpt-3.5-turbo

    themes related to financial and economic concepts

    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
    moon
    -0.72
    Baltimore
    -0.70
     Journalism
    -0.63
     congr
    -0.63
     Teddy
    -0.62
    odore
    -0.61
    thouse
    -0.58
    Prince
    -0.58
     Palm
    -0.58
    Scroll
    -0.58
    POSITIVE LOGITS
     themselves
    0.95
     substantially
    0.92
     coerc
    0.86
     advantageous
    0.85
     precisely
    0.84
     systematically
    0.83
     distinct
    0.82
     comparatively
    0.81
    actively
    0.79
     concess
    0.79
    Activations Density 1.324%

    No Known Activations