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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. 318
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    Explanations

    phrases related to increase or decrease in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to increases or improvements in various contexts

    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
    mates
    -0.82
     Tycoon
    -0.81
    yard
    -0.76
    ices
    -0.75
    fell
    -0.74
    VPN
    -0.74
     Tree
    -0.73
    ships
    -0.71
    ohm
    -0.71
     Trees
    -0.71
    POSITIVE LOGITS
     opportunity
    0.99
     scrutiny
    0.98
     earthqu
    0.94
     opportunities
    0.93
     awareness
    0.92
     susceptibility
    0.90
     appetite
    0.90
     depreciation
    0.88
     influx
    0.88
     appreciation
    0.86
    Activations Density 0.054%

    No Known Activations