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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. 1-RES-JB
    11. 7214
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    INDEX
    Explanations

    academic scholars or researchers mentioned in text

    oai_token-act-pair · gpt-3.5-turbo

    references to scholars and scholarly work

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Labrador
    -0.80
     Terminal
    -0.65
     Independence
    -0.63
     999
    -0.61
     Panama
    -0.60
     Ventura
    -0.58
     Quit
    -0.58
     Operation
    -0.57
     Postal
    -0.57
     territ
    -0.57
    POSITIVE LOGITS
     scholars
    1.28
     scholar
    1.20
    sonian
    1.19
     Scholars
    1.09
    olars
    1.06
    ¿½
    0.95
     scholarship
    0.90
    bilt
    0.88
     Scholar
    0.85
    books
    0.84
    Activations Density 0.008%

    No Known Activations