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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. 4303
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    Explanations

    sentences summarizing or pointing out key information in a text

    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
    azo
    -0.69
     Reward
    -0.69
    phans
    -0.68
     Delivery
    -0.68
     externalToEVAOnly
    -0.66
     Valentine
    -0.65
     Delay
    -0.63
    ickle
    -0.63
     Competition
    -0.63
    bath
    -0.63
    POSITIVE LOGITS
     conclusions
    1.33
     viewpoints
    1.26
     pertinent
    1.22
     factual
    1.20
     opinions
    1.14
     facts
    1.13
     inaccur
    1.11
     relevant
    1.07
     misconceptions
    1.07
     perspectives
    1.06
    Activations Density 0.705%

    No Known Activations