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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. 9-RES-JB
    11. 3107
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    Explanations

    mentions of internships or intern activities

    oai_token-act-pair · gpt-3.5-turbo

    references to internships and related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥ¼ãĥ³
    -0.67
     signalling
    -0.66
    KA
    -0.62
    lower
    -0.60
    âĢ¢âĢ¢
    -0.60
     è£ıè¦ļéĨĴ
    -0.59
     palms
    -0.59
     signaling
    -0.58
     erect
    -0.58
     Sorceress
    -0.58
    POSITIVE LOGITS
    ships
    1.59
    ationally
    1.28
    ship
    1.08
    ials
    0.97
    ment
    0.94
    ational
    0.91
    ation
    0.90
    atural
    0.90
    rador
    0.89
    ations
    0.89
    Activations Density 0.056%

    No Known Activations