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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. 14705
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    oai_token-act-pair · gpt-3.5-turbo

    end parentheses and similar punctuation marks

    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
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    No Comments

    Negative Logits
    ahu
    -0.83
    rew
    -0.68
     guarded
    -0.64
    anch
    -0.63
    rette
    -0.62
     contiguous
    -0.62
    enta
    -0.62
    odo
    -0.61
    otine
    -0.61
     cares
    -0.61
    POSITIVE LOGITS
     onwards
    0.92
    BuyableInstoreAndOnline
    0.75
    Reviewer
    0.69
     Surviv
    0.69
    Interstitial
    0.68
     Jah
    0.67
    20439
    0.66
     Defin
    0.66
     Eag
    0.65
     Ibid
    0.65
    Activations Density 0.107%

    No Known Activations