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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 3559
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    INDEX
    Explanations

    reports on various topics or events

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating news reports or citations from various media sources

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    otin
    -0.81
    isable
    -0.75
    venge
    -0.75
     gauge
    -0.74
    anging
    -0.72
    creen
    -0.70
     palate
    -0.68
    rouse
    -0.68
    adow
    -0.65
    adies
    -0.65
    POSITIVE LOGITS
     quoting
    0.78
    reports
    0.73
     Politico
    0.71
     sources
    0.71
     citing
    0.70
    roit
    0.69
     reports
    0.68
     excerpts
    0.68
    biz
    0.68
    CBS
    0.67
    Activations Density 0.042%

    No Known Activations