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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. 19643
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    Explanations

    specific names of individuals or companies

    oai_token-act-pair · gpt-3.5-turbo

    references to ESPN and associated content, particularly in medical or professional contexts

    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
    Reviewer
    -0.72
    20439
    -0.68
    ecause
    -0.64
    theless
    -0.64
    DragonMagazine
    -0.59
    riers
    -0.57
    entin
    -0.57
    otin
    -0.57
    icans
    -0.54
    tis
    -0.53
    POSITIVE LOGITS
    onica
    0.68
    reated
    0.66
     TBD
    0.66
     ..............
    0.65
     lvl
    0.65
     Located
    0.64
     [|
    0.61
     hers
    0.60
     Minion
    0.60
    IJ
    0.60
    Activations Density 0.226%

    No Known Activations