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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. 4-RES-JB
    11. 13481
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    Explanations

    references to bloggers

    oai_token-act-pair · gpt-3.5-turbo

    mentions of bloggers and their activities

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

    No Comments

    Negative Logits
    IELD
    -0.79
     Pesh
    -0.70
    LS
    -0.65
    arching
    -0.63
     Oaks
    -0.63
     Orchestra
    -0.63
     Sax
    -0.61
     Liberties
    -0.58
    ENCY
    -0.58
    ZI
    -0.58
    POSITIVE LOGITS
    osphere
    1.05
    blogs
    1.04
     blogging
    1.04
     blogger
    1.02
     bloggers
    0.97
     blogs
    0.92
    irtual
    0.87
    blogspot
    0.84
    culosis
    0.80
    é»Ĵ
    0.79
    Activations Density 0.013%

    No Known Activations