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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. 11-RES-JB
    11. 9328
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    Explanations

    words related to computer security and identification

    oai_token-act-pair · gpt-3.5-turbo

    words related to color and identifying specific individuals or groups

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Owen
    -0.90
    ographs
    -0.85
     Rober
    -0.79
    ourn
    -0.78
     Owens
    -0.77
    ograph
    -0.76
     tou
    -0.74
     163
    -0.74
    ograp
    -0.73
     319
    -0.73
    POSITIVE LOGITS
    mand
    0.94
    tm
    0.91
     Mand
    0.87
    mia
    0.86
    m
    0.81
    ill
    0.80
    mist
    0.80
    ãĥŁ
    0.78
    mut
    0.77
    mill
    0.76
    Activations Density 0.347%

    No Known Activations