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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. 10-RES-JB
    6. 15669
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    Explanations

    verbs related to actions or events

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     DOI
    -0.69
    sted
    -0.64
    ãĤ©
    -0.60
    onder
    -0.58
     heels
    -0.57
    erald
    -0.57
    hement
    -0.54
    oso
    -0.54
     refres
    -0.53
     Towers
    -0.53
    POSITIVE LOGITS
     happening
    1.54
     occurring
    1.16
     going
    1.00
     transpired
    1.00
     bothering
    0.96
     unfolding
    0.95
     motivating
    0.92
     causing
    0.90
     achievable
    0.86
     happ
    0.86
    Activations Density 0.086%

    No Known Activations