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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. 8-RES-JB
    11. 14236
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    INDEX
    Explanations

    phrases related to causation and solution, focusing on actions or interventions

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to methods of achieving change or progress

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    ãĤ·
    -0.74
    etus
    -0.72
    CTV
    -0.71
    atron
    -0.68
    imens
    -0.68
    hyde
    -0.67
    aru
    -0.67
    ettle
    -0.65
    æĪ¦
    -0.65
    ailable
    -0.64
    POSITIVE LOGITS
     intermedi
    1.06
     sheer
    1.01
     attrition
    0.97
     inaction
    0.94
     obscurity
    0.82
     repetition
    0.82
     proxies
    0.79
    gone
    0.77
     taxation
    0.76
     partnerships
    0.76
    Activations Density 0.054%

    No Known Activations