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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. 12252
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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
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    No Comments

    Negative Logits
    chwitz
    -0.68
    igham
    -0.64
     Izan
    -0.64
     bottleneck
    -0.63
     homeland
    -0.63
    ersen
    -0.62
     purs
    -0.61
     Cutter
    -0.59
     cultivating
    -0.59
     bombed
    -0.59
    POSITIVE LOGITS
    th
    1.11
     Minutes
    1.08
     minutes
    1.00
     mins
    0.93
    eenth
    0.90
     Days
    0.85
     months
    0.83
    pm
    0.83
    31
    0.82
    89
    0.80
    Activations Density 0.140%

    No Known Activations