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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. 14809
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    Explanations

    phrases related to increasing or intensifying action or effort

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate taking action or increasing effort

    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
    elf
    -0.69
    iol
    -0.69
    esm
    -0.66
    Ñı
    -0.64
    akin
    -0.64
     Musk
    -0.64
    uel
    -0.62
    ogg
    -0.61
    \\\\\\\\
    -0.61
    minecraft
    -0.61
    POSITIVE LOGITS
    stairs
    0.88
    river
    0.84
    vation
    0.73
    rocal
    0.72
     watering
    0.70
    rons
    0.69
    grading
    0.68
     notch
    0.68
    rated
    0.67
    cycles
    0.65
    Activations Density 0.029%

    No Known Activations