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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. 1-RES-JB
    11. 16076
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    Explanations

    keywords related to tailoring or customization

    oai_token-act-pair · gpt-3.5-turbo

    terms related to tailoring and customization

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Sage
    -0.82
     Mub
    -0.74
    rd
    -0.69
     Standing
    -0.69
     Defenders
    -0.68
    TPS
    -0.67
    ————————————————
    -0.66
     Occup
    -0.66
     Oliv
    -0.64
     Leah
    -0.64
    POSITIVE LOGITS
     tailor
    1.62
     tailored
    1.36
    isode
    0.99
     suit
    0.84
     suits
    0.83
     nomine
    0.82
     millenn
    0.82
    atered
    0.81
     catering
    0.79
    vertisement
    0.79
    Activations Density 0.012%

    No Known Activations