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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. 19986
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    Explanations

    common household items like cleaning products and personal care items

    oai_token-act-pair · gpt-3.5-turbo

    cleaning and hygiene-related products

    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
    buquerque
    -0.70
    ajor
    -0.68
    REAM
    -0.67
    cffffcc
    -0.65
    ãĥĥãĥī
    -0.64
    owan
    -0.63
     Reconstruction
    -0.63
    Witness
    -0.63
     Submission
    -0.62
    76561
    -0.62
    POSITIVE LOGITS
     shampoo
    0.92
     additives
    0.87
     disinfect
    0.85
    utical
    0.83
     coupons
    0.83
     applic
    0.80
     conco
    0.80
     coating
    0.80
     refill
    0.78
     packaging
    0.78
    Activations Density 0.112%

    No Known Activations