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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. 4296
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    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
     fundamentally
    -0.66
     plateau
    -0.63
     analy
    -0.60
     propositions
    -0.58
     precisely
    -0.57
     trillions
    -0.57
    RAW
    -0.56
     arbitrarily
    -0.55
     caucuses
    -0.55
     narrower
    -0.54
    POSITIVE LOGITS
    ãĥĩ
    0.62
    DragonMagazine
    0.62
     popularity
    0.61
    ãĥŁ
    0.60
    senal
    0.59
     festive
    0.58
     Sexy
    0.58
     mascot
    0.57
    ngth
    0.55
    tesy
    0.55
    Activations Density 0.884%

    No Known Activations