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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. 2491
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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
    antis
    -0.64
    icans
    -0.64
    intend
    -0.62
    ãĥ´
    -0.60
     Seah
    -0.58
    culosis
    -0.58
    igs
    -0.58
    endish
    -0.57
    ãĤ¶
    -0.57
    ologically
    -0.56
    POSITIVE LOGITS
     handy
    0.86
     recommend
    0.82
     recommended
    0.77
    your
    0.74
    you
    0.73
     easiest
    0.72
     guide
    0.70
     recommends
    0.69
    ectar
    0.69
     advisable
    0.68
    Activations Density 0.300%

    No Known Activations