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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. 10283
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    INDEX
    Explanations

    adjectives with a negative or challenging connotation

    oai_token-act-pair · gpt-3.5-turbo

    statements indicating conditions or situations that are ongoing, repeated, or have been established over time

    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
    ennett
    -0.76
    midt
    -0.68
    ials
    -0.66
    rison
    -0.66
    ants
    -0.65
    addon
    -0.62
    hov
    -0.60
     Serpent
    -0.60
    '>
    -0.60
    manager
    -0.60
    POSITIVE LOGITS
     incidentally
    0.64
     genetically
    0.63
    pport
    0.63
     antit
    0.61
     inhabit
    0.61
     incompatible
    0.61
    pires
    0.60
     relegation
    0.59
    fit
    0.59
     inconvenient
    0.58
    Activations Density 0.830%

    No Known Activations