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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. 8806
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    Explanations

    names, product names, and specific quantities

    oai_token-act-pair · gpt-3.5-turbo

    references to notable characters and entities in various contexts

    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
     âĢİ
    -0.54
    �
    -0.53
    ".[
    -0.52
    ÅŁ
    -0.52
    ãĢIJ
    -0.52
     Griff
    -0.51
    é»Ĵ
    -0.50
    Bull
    -0.50
    interstitial
    -0.50
    ãĢij
    -0.49
    POSITIVE LOGITS
    pedia
    0.55
    iversal
    0.51
     nomine
    0.51
     Gren
    0.46
     Palest
    0.46
    idious
    0.45
     Abu
    0.43
     exploration
    0.42
     guiActiveUn
    0.42
     patronage
    0.42
    Activations Density 1.293%

    No Known Activations