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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. 20243
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    Explanations

    numerical values and statistics

    oai_token-act-pair · gpt-3.5-turbo

    quantitative data and statistics related to populations or measurements

    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
    Firstly
    -0.95
     whilst
    -0.82
     Whilst
    -0.81
    ~~~~
    -0.80
    lvl
    -0.79
     ðŁĻĤ
    -0.77
     somew
    -0.77
    !".
    -0.76
    ³³
    -0.74
     ;)
    -0.74
    POSITIVE LOGITS
     Kaplan
    0.71
     Carson
    0.68
     HuffPost
    0.67
     nonprofits
    0.67
     Manziel
    0.66
     automakers
    0.65
     millennials
    0.64
     Calif
    0.64
     Rollins
    0.63
     nonprofit
    0.62
    Activations Density 1.970%

    No Known Activations