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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. 9536
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    Explanations

    website and advertisement-related phrases

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to viewer engagement and advertisements

    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
     Entered
    -0.68
    wcs
    -0.58
     Rash
    -0.54
    -0.52
    bill
    -0.51
     Haz
    -0.51
     sorting
    -0.51
     Arbit
    -0.50
    cephal
    -0.49
     Boh
    -0.48
    POSITIVE LOGITS
    ļé
    0.69
     targ
    0.68
    ohm
    0.68
    ynasty
    0.64
    pees
    0.63
    endif
    0.63
    MSN
    0.63
    hester
    0.61
    eport
    0.60
     itself
    0.60
    Activations Density 2.029%

    No Known Activations