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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. 101
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    Explanations

    mentions of people or entities in political or news contexts

    oai_token-act-pair · gpt-3.5-turbo

    phrases or expressions indicating a legal or formal context

    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
     convergence
    -0.74
     hemor
    -0.74
     disadvant
    -0.74
     mathemat
    -0.73
     cumbers
    -0.73
     carbohyd
    -0.72
     XT
    -0.72
     tremend
    -0.71
     mosqu
    -0.69
     Gutenberg
    -0.68
    POSITIVE LOGITS
    女
    0.96
    ï¸ı
    0.85
    maid
    0.82
    ATH
    0.82
    Ļ
    0.79
    ship
    0.79
    sa
    0.78
    ļ
    0.77
    Department
    0.77
    §
    0.77
    Activations Density 0.427%

    No Known Activations