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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. 9531
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    Explanations

    mentions or references to autographs

    oai_token-act-pair · gpt-3.5-turbo

    references to autographs

    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
    lihood
    -0.80
    imaru
    -0.79
    IRO
    -0.77
    BLE
    -0.73
     Soda
    -0.71
    UTION
    -0.70
    BE
    -0.69
    ORK
    -0.69
     Passage
    -0.68
    edin
    -0.67
    POSITIVE LOGITS
    ographs
    1.26
    ograph
    1.23
    opsy
    1.11
    ographed
    1.08
    umn
    1.07
    ogyn
    1.01
    ocom
    1.00
    iques
    0.99
    oly
    0.98
    istically
    0.98
    Activations Density 0.016%

    No Known Activations