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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. 11-RES-JB
    6. 16166
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    Explanations

    phrases containing contractions such as "Don't" or "It's"

    oai_token-act-pair · gpt-3.5-turbo

    negative phrases related to self-doubt or inability

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     acron
    -0.69
     Guatem
    -0.67
     simultane
    -0.66
     decomp
    -0.66
     Slav
    -0.64
     blanket
    -0.64
     Osw
    -0.63
     SHARES
    -0.63
     satell
    -0.61
     Alph
    -0.60
    POSITIVE LOGITS
    t
    1.65
    tion
    1.22
    ti
    1.21
    tan
    1.16
    tin
    1.16
    tu
    1.14
    tions
    1.13
    tis
    1.12
    td
    1.12
    nt
    1.06
    Activations Density 0.133%

    No Known Activations