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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. 14074
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    Explanations

    names ending in 'os'

    oai_token-act-pair · gpt-3.5-turbo

    chemical elements or compounds

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    ufact
    -0.77
    theless
    -0.63
    prototype
    -0.62
     Cheong
    -0.60
    hower
    -0.60
    Introduced
    -0.60
     Admir
    -0.58
    jury
    -0.58
     Swordsman
    -0.58
    ACTED
    -0.57
    POSITIVE LOGITS
    士
    1.04
    imaru
    0.91
     sidx
    0.74
    vous
    0.74
    pta
    0.72
    etsk
    0.71
    letal
    0.69
     Monteneg
    0.68
    amazon
    0.67
     domin
    0.66
    Activations Density 0.373%

    No Known Activations