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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 22271
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    Explanations

    references to objects or concepts described as "ultra"

    oai_token-act-pair · gpt-3.5-turbo

    references to "ultra" descriptors indicating high performance or quality

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    avan
    -0.77
    lain
    -0.73
     Bleach
    -0.73
     Cosponsors
    -0.73
     Burnett
    -0.70
    士
    -0.69
    Interstitial
    -0.69
     ë
    -0.68
    emis
    -0.67
    cific
    -0.64
    POSITIVE LOGITS
    orthodox
    0.94
    charged
    0.90
     ultra
    0.81
    entimes
    0.79
    visor
    0.77
    judicial
    0.76
    jump
    0.75
    thodox
    0.74
    ordinary
    0.70
    fine
    0.69
    Activations Density 0.010%

    No Known Activations