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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. 9-RES-JB
    11. 17301
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    Explanations

    keywords related to direction or movement

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating direction or movement towards a specific target

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cu
    -0.87
    chin
    -0.81
    glers
    -0.74
     Cosponsors
    -0.73
    zai
    -0.72
    ounce
    -0.70
    span
    -0.70
    deal
    -0.69
    etimes
    -0.69
    sei
    -0.67
    POSITIVE LOGITS
     adulthood
    0.85
     infinity
    0.85
    wards
    0.84
     achieving
    0.78
     extinction
    0.78
     fruition
    0.75
    WARD
    0.75
     goal
    0.74
     accompl
    0.73
     independence
    0.73
    Activations Density 0.041%

    No Known Activations