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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. 23999
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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 @ 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
    Not in Any Lists

    No Comments

    Negative Logits
    swick
    -0.77
    atters
    -0.74
    igsaw
    -0.71
    Blocks
    -0.68
     Pieces
    -0.66
    ership
    -0.65
    mingham
    -0.65
    ggles
    -0.63
     Refresh
    -0.62
    kun
    -0.61
    POSITIVE LOGITS
     posed
    1.26
     associated
    1.15
     arising
    1.08
     outweigh
    1.06
     caused
    1.05
     inherent
    1.04
     outwe
    1.02
     incurred
    1.01
     attributable
    1.00
     stemming
    0.96
    Activations Density 0.175%

    No Known Activations