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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. 12220
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    Explanations

    mentions of active involvement or support

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "actively" 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
     Parables
    -0.88
    esan
    -0.74
     Cris
    -0.71
    elf
    -0.69
     dignity
    -0.69
     Horizons
    -0.68
     Chaser
    -0.66
     Castle
    -0.65
     Cambod
    -0.65
    Fine
    -0.64
    POSITIVE LOGITS
     engaged
    1.04
     encouraged
    0.85
    uated
    0.85
     solic
    0.83
     discouraged
    0.83
    uating
    0.81
     reinvest
    0.81
     actively
    0.79
    uates
    0.77
     encourage
    0.77
    Activations Density 0.016%

    No Known Activations