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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. 4-RES-JB
    11. 7368
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    Explanations

    descriptions or references related to individuals who finish in second place in a competition

    oai_token-act-pair · gpt-3.5-turbo

    references to "runner" in various contexts

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

    No Comments

    Negative Logits
    olia
    -0.81
     ILCS
    -0.70
    ornia
    -0.70
    isson
    -0.70
    oral
    -0.69
    orically
    -0.69
    ropy
    -0.68
    umbn
    -0.67
    ropolitan
    -0.66
    orical
    -0.65
    POSITIVE LOGITS
    ners
    1.09
    swick
    0.95
    wear
    0.92
    bridge
    0.88
     Runner
    0.86
     runner
    0.81
    pants
    0.80
    ways
    0.79
    bum
    0.78
    knit
    0.77
    Activations Density 0.015%

    No Known Activations