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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. 10-RES-JB
    11. 8051
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    Explanations

    names of locations, especially related to sports teams

    oai_token-act-pair · gpt-3.5-turbo

    geographic locations and names related to sports teams

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aeda
    -0.47
    spir
    -0.46
    nob
    -0.45
     Tags
    -0.45
    vre
    -0.43
    emb
    -0.43
    ashes
    -0.42
    ©¶æ
    -0.42
    olitics
    -0.41
     contagious
    -0.40
    POSITIVE LOGITS
     meanwhile
    0.59
     likewise
    0.57
    pmwiki
    0.56
     and
    0.54
    addons
    0.53
    itto
    0.49
    IRC
    0.47
     or
    0.46
     suburbs
    0.46
     counterpart
    0.45
    Activations Density 0.799%

    No Known Activations