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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. 454
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    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
     Leilan
    -0.83
    eteria
    -0.76
     Yose
    -0.70
     Turing
    -0.69
     Manson
    -0.68
    quished
    -0.67
    esis
    -0.65
     screenings
    -0.65
     Xavier
    -0.64
     blender
    -0.63
    POSITIVE LOGITS
    ebook
    1.11
    tro
    1.02
    chance
    0.96
    gradient
    0.96
    pill
    0.95
    dict
    0.95
    dust
    0.93
    blank
    0.92
    lit
    0.92
    SOURCE
    0.89
    Activations Density 0.022%

    No Known Activations