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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. 12112
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    INDEX
    Explanations

    words related to lineups or series of items

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of lineups or groupings

    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
    nai
    -0.92
    birth
    -0.83
    imb
    -0.77
    rir
    -0.75
    bara
    -0.73
    ryn
    -0.72
    mit
    -0.68
    cknowled
    -0.68
    hig
    -0.67
    versely
    -0.67
    POSITIVE LOGITS
     lineup
    0.96
     XI
    0.89
    selection
    0.81
    aurus
    0.78
     XV
    0.76
     favourites
    0.71
     swaps
    0.70
     mates
    0.66
     choices
    0.66
     albums
    0.63
    Activations Density 0.016%

    No Known Activations