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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. 9250
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    Explanations

    phrases related to printing or making something tangible

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to printing and printables

    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
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    No Comments

    Negative Logits
    ogun
    -0.80
    itimate
    -0.74
    obin
    -0.74
    arya
    -0.73
    ahime
    -0.73
    aughters
    -0.72
    ovi
    -0.72
    ONSORED
    -0.68
    akra
    -0.67
    brainer
    -0.67
    POSITIVE LOGITS
    DragonMagazine
    1.00
     Copy
    0.77
    Print
    0.75
     pus
    0.73
    é¾įå
    0.69
     Paste
    0.64
    Plex
    0.64
    DX
    0.64
     Generator
    0.63
    GUI
    0.62
    Activations Density 0.108%

    No Known Activations