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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. 7-RES-JB
    11. 4417
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    specific numerical and structural information

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Entered
    -0.64
     trout
    -0.58
     Starr
    -0.57
     wildlife
    -0.56
     Floyd
    -0.55
     Hogan
    -0.54
     rang
    -0.52
     snakes
    -0.52
     Lewis
    -0.51
     Linda
    -0.51
    POSITIVE LOGITS
    SourceFile
    0.99
    ãĤ¦ãĤ¹
    0.90
    ļéĨĴ
    0.78
    ãĤ´ãĥ³
    0.75
    Accessory
    0.73
    Ô
    0.72
    ãģ®ç
    0.71
    76561
    0.70
    ¶æ
    0.68
    ĵĺ
    0.68
    Activations Density 1.105%

    No Known Activations