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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. 1-RES-JB
    11. 735
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    Explanations

    references to the word "Gre" followed by a numerical value, potentially indicating a person's name or related entity

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Gre" or variations thereof

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥŁ
    -0.78
    RELATED
    -0.74
    ãĥ¼ãĥ³
    -0.73
    etheless
    -0.73
    ãģ§
    -0.71
    side
    -0.71
    ional
    -0.71
    DragonMagazine
    -0.69
    tumblr
    -0.68
    orney
    -0.68
    POSITIVE LOGITS
     Gre
    1.26
    Gre
    1.00
    enery
    0.89
    ogly
    0.89
    yson
    0.88
    gre
    0.88
    ©¶æ
    0.85
    lean
    0.80
     gre
    0.80
    ety
    0.78
    Activations Density 0.006%

    No Known Activations