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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. 6-RES-JB
    11. 1571
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    Explanations

    specific details or information

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific details or information in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    asus
    -0.76
    rade
    -0.72
    ammers
    -0.72
    ONY
    -0.71
    sw
    -0.70
    own
    -0.65
    arte
    -0.64
    ony
    -0.63
    oaded
    -0.63
    ÃŃs
    -0.63
    POSITIVE LOGITS
     details
    1.02
    displayText
    0.91
     detail
    0.91
     surrounding
    0.87
     glean
    0.86
     redacted
    0.82
     thereof
    0.77
    peed
    0.76
     TBA
    0.75
     Details
    0.75
    Activations Density 0.026%

    No Known Activations