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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. 7-RES-JB
    11. 24154
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific brands, locations, or entities related to technology and media

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    20439
    -0.76
    ledged
    -0.73
    rained
    -0.70
    ï¸ı
    -0.70
    riers
    -0.69
    lay
    -0.67
    enser
    -0.67
    docker
    -0.66
    umbs
    -0.66
    ynthesis
    -0.65
    POSITIVE LOGITS
     Dept
    0.75
     Historical
    0.73
     Communications
    0.69
     Facts
    0.66
     POV
    0.66
     Wire
    0.65
    ãģ®å®
    0.64
     XD
    0.64
     Federation
    0.63
     Enterprises
    0.63
    Activations Density 0.291%

    No Known Activations