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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. 3-RES-JB
    11. 3833
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    Explanations

    references to the word "Gre" followed by numbers

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the prefix "Gre" or "gre," indicating a focus on entities or concepts associated with that prefix

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥ¼ãĥĨãĤ£
    -0.75
    ãĥ¼ãĥ³
    -0.74
    ãģ§
    -0.73
    ional
    -0.71
     CPC
    -0.69
    etheless
    -0.69
    ournal
    -0.68
    ãĥŁ
    -0.67
    DragonMagazine
    -0.66
    è¦ļéĨĴ
    -0.66
    POSITIVE LOGITS
     Gre
    0.92
    ogly
    0.89
    enery
    0.86
    lette
    0.80
    lev
    0.80
    yson
    0.80
    asures
    0.80
    gre
    0.79
    endale
    0.79
    ase
    0.78
    Activations Density 0.007%

    No Known Activations