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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 20307
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    Explanations

    references to geographical locations, specifically related to China and Southeast Asia

    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
    iasco
    -0.75
    =-=-=-=-
    -0.69
    PDATE
    -0.65
    vae
    -0.63
    ocument
    -0.62
    é¾įå
    -0.62
    ittens
    -0.62
    MSN
    -0.60
    erity
    -0.58
    ulo
    -0.58
    POSITIVE LOGITS
    bury
    0.72
     Abbey
    0.71
     Baptist
    0.69
     District
    0.67
    eret
    0.64
     Consortium
    0.64
     Station
    0.63
     Plaza
    0.63
     Lane
    0.63
    iever
    0.62
    Activations Density 0.134%

    No Known Activations