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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. 2499
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    Explanations

    prepositions followed by locations or sources

    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
    pta
    -0.70
    tions
    -0.70
    lied
    -0.66
    blems
    -0.65
    kid
    -0.64
    wu
    -0.61
    problem
    -0.61
    itivity
    -0.61
    ciples
    -0.61
    verbs
    -0.61
    POSITIVE LOGITS
     afar
    1.72
     inside
    1.17
     behind
    1.13
     atop
    1.06
     rooft
    1.05
     nowhere
    1.05
    behind
    1.03
     whence
    1.02
     upstairs
    0.97
     outside
    0.97
    Activations Density 0.143%

    No Known Activations