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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. 3-RES-JB
    11. 4687
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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 @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Seasons
    -0.82
    mble
    -0.74
    vae
    -0.72
     Vaj
    -0.69
    erers
    -0.69
    erer
    -0.68
     Velocity
    -0.67
     Tycoon
    -0.67
    pread
    -0.67
     Roses
    -0.66
    POSITIVE LOGITS
     speaking
    0.87
     exting
    0.85
     wedd
    0.81
     enforce
    0.80
     exempt
    0.79
     obliged
    0.77
     ratified
    0.76
     conclud
    0.75
     mandated
    0.75
    inition
    0.74
    Activations Density 0.007%

    No Known Activations