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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. 0-RES-JB
    11. 2792
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    Explanations

    mentions of criminal activities or individuals related to law enforcement

    oai_token-act-pair · gpt-3.5-turbo

    references to certain sports teams and their performance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     sym
    -0.66
     triple
    -0.64
     Gemini
    -0.64
    major
    -0.63
    tri
    -0.61
     Rapt
    -0.59
     Phase
    -0.58
     transit
    -0.58
     Near
    -0.57
     Twisted
    -0.56
    POSITIVE LOGITS
    oks
    3.82
    llo
    1.56
    odo
    1.08
    ostics
    0.94
    ostic
    0.89
    izont
    0.86
    aneers
    0.82
    rians
    0.81
    vas
    0.81
    lly
    0.80
    Activations Density 0.012%

    No Known Activations