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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. 9-RES-JB
    6. 6834
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    Explanations

    mentions of the name "Dat" followed by numerical values

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    entric
    -0.78
    ittal
    -0.72
    Ô
    -0.68
    ADE
    -0.66
    ing
    -0.66
     figure
    -0.64
    HAM
    -0.64
    ãģĨ
    -0.63
    ":""},{"
    -0.63
    144
    -0.63
    POSITIVE LOGITS
    ihad
    0.88
    awan
    0.79
    imes
    0.76
    abases
    0.76
    ifa
    0.75
    ullah
    0.73
    emp
    0.73
    ween
    0.70
    tered
    0.70
    TPS
    0.70
    Activations Density 0.069%

    No Known Activations