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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. 10-RES-JB
    11. 6409
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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 @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Southern
    -0.81
    Offline
    -0.80
    Technical
    -0.78
    Single
    -0.77
     Fiscal
    -0.77
    cale
    -0.75
    Rh
    -0.75
    Federal
    -0.74
    Real
    -0.74
    White
    -0.74
    POSITIVE LOGITS
     chamber
    0.91
     deck
    0.90
     pad
    0.89
     kit
    0.86
     cube
    0.85
     lobby
    0.83
     pool
    0.81
     system
    0.81
     bud
    0.81
     protection
    0.80
    Activations Density 0.412%

    No Known Activations