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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. 3852
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    Explanations

    phrases indicating multiple instances or occurrences

    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
    oulos
    -0.72
    ocate
    -0.68
    lance
    -0.67
    brace
    -0.66
    ̶
    -0.65
     Presence
    -0.64
    GGGGGGGG
    -0.63
    lio
    -0.63
    ammers
    -0.63
    robe
    -0.62
    POSITIVE LOGITS
     occasions
    1.90
     occasion
    1.60
     basis
    1.34
     fronts
    1.31
     behalf
    1.25
     pretext
    1.19
     grounds
    1.13
     continents
    1.08
     campuses
    1.06
     occ
    0.95
    Activations Density 0.171%

    No Known Activations