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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. 11-RES-JB
    11. 2203
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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 @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     trophies
    -0.65
     satisf
    -0.63
     isolation
    -0.61
     disadvant
    -0.60
     proposition
    -0.60
     pickups
    -0.60
     divest
    -0.59
     rehears
    -0.59
     Sakuya
    -0.58
     cameras
    -0.58
    POSITIVE LOGITS
    au
    1.55
    cn
    1.21
    sg
    1.09
    uk
    1.08
    apple
    0.89
    nz
    0.88
    br
    0.86
    AU
    0.82
    ua
    0.81
     Altern
    0.80
    Activations Density 0.050%

    No Known Activations