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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. 5285
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    Explanations

    phrases in proper English syntax, especially those involving someone mentioning or stating something

    oai_token-act-pair · gpt-3.5-turbo

    the verb "said" used repeatedly in different contexts

    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
    folios
    -0.74
    izo
    -0.72
    ingu
    -0.67
     ILCS
    -0.66
    otin
    -0.66
    estern
    -0.66
    LEASE
    -0.64
     reunited
    -0.63
    mol
    -0.63
    larg
    -0.62
    POSITIVE LOGITS
    WER
    0.67
     Donna
    0.67
     Angela
    0.65
     Hilbert
    0.64
     Bulg
    0.64
     Charm
    0.64
     FT
    0.64
     according
    0.63
     analysts
    0.63
     Larry
    0.63
    Activations Density 0.053%

    No Known Activations