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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. 6-RES-JB
    6. 3233
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    Explanations

    adjectives and nouns related to unique or exceptional characteristics

    oai_token-act-pair · gpt-3.5-turbo

    nouns and terms related to roles, positions, and actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    assies
    -0.83
     strawberries
    -0.74
    rollers
    -0.73
    idents
    -0.70
    ainers
    -0.68
     CLR
    -0.67
    iries
    -0.64
    amate
    -0.63
    mins
    -0.63
     Roads
    -0.62
    POSITIVE LOGITS
     akin
    0.85
     euphem
    0.77
    nown
    0.69
     hallmark
    0.69
    ually
    0.68
     likened
    0.67
     adaptation
    0.66
     tactic
    0.65
     precaution
    0.65
     testament
    0.65
    Activations Density 0.165%

    No Known Activations