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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. 14
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    Explanations

    ACRONYMS

    oai_token-act-pair · gpt-3.5-turbo

    references to specific organizations or committees

    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
    hood
    -0.82
    backer
    -0.74
     Colt
    -0.69
    ãĥĥãĥĪ
    -0.68
     Fenrir
    -0.67
     Veter
    -0.66
     Kong
    -0.60
    assetsadobe
    -0.59
     Mub
    -0.58
    ĸļ
    -0.58
    POSITIVE LOGITS
    HE
    1.07
    CEPT
    0.99
    olor
    0.97
    rylic
    0.97
    osta
    0.94
    ritical
    0.91
    ORN
    0.91
    ATA
    0.90
    EP
    0.89
    ATES
    0.89
    Activations Density 0.006%

    No Known Activations