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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. 19628
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    Explanations

    terms related to assigned duties or specialized work roles

    oai_token-act-pair · gpt-3.5-turbo

    references to task forces and their activities

    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
    LECT
    -0.69
    otide
    -0.69
     Neph
    -0.68
    creen
    -0.65
    abama
    -0.63
    OAD
    -0.61
    ental
    -0.61
    atin
    -0.61
    IGH
    -0.60
     cig
    -0.59
    POSITIVE LOGITS
    force
    1.11
    masters
    1.02
    forces
    1.00
    master
    0.99
    task
    0.95
     force
    0.92
     task
    0.87
    manship
    0.81
    station
    0.81
     undertaken
    0.80
    Activations Density 0.054%

    No Known Activations