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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. 12391
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    Explanations

    phrases related to time and events

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating uncertainty or exceptions in 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
    GES
    -0.74
    rone
    -0.68
    anon
    -0.66
     Constantin
    -0.62
    },{"
    -0.62
    Fra
    -0.62
     Archdemon
    -0.61
    AME
    -0.61
    Benz
    -0.61
    Cause
    -0.60
    POSITIVE LOGITS
     hindsight
    1.05
     bang
    0.82
     exception
    0.81
     caveat
    0.77
     looming
    0.74
     exceptions
    0.72
     caveats
    0.71
     democrat
    0.71
    draw
    0.69
     twist
    0.67
    Activations Density 0.248%

    No Known Activations