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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. 6-RES-JB
    11. 1144
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    INDEX
    Explanations

    terms related to trends or trends analysis

    oai_token-act-pair · gpt-3.5-turbo

    discussions and mentions of trends

    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
    gur
    -0.90
    tein
    -0.75
     oath
    -0.72
     Lak
    -0.65
    vette
    -0.63
     barr
    -0.63
     Aires
    -0.62
     straw
    -0.62
    lehem
    -0.62
    ×Ļ×
    -0.61
    POSITIVE LOGITS
    setting
    1.18
     trend
    1.00
     Trend
    0.97
     trends
    0.91
    Trend
    0.88
    line
    0.85
    set
    0.84
    icity
    0.83
    lines
    0.81
    Chart
    0.80
    Activations Density 0.028%

    No Known Activations