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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. 7-RES-JB
    11. 14510
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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    igmat
    -0.70
    enda
    -0.58
    erest
    -0.58
    ickr
    -0.57
    pot
    -0.55
    ibus
    -0.55
    lav
    -0.55
    kamp
    -0.55
     Books
    -0.54
    oute
    -0.54
    POSITIVE LOGITS
    til
    0.71
    week
    0.68
    du
    0.66
    atches
    0.64
     regards
    0.63
     <-
    0.63
     regard
    0.61
    urally
    0.61
    tains
    0.61
     week
    0.60
    Activations Density 0.393%

    No Known Activations