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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 3-RES-JB
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    The neuron is looking for mentions of the word "Mans" or its variations

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    é¾įåĸļ士
    -0.73
    ties
    -0.73
    >>>>>>>>
    -0.72
    tical
    -0.71
    BOOK
    -0.71
    èª
    -0.71
    ENCY
    -0.68
    çĦ
    -0.67
    tics
    -0.66
    MRI
    -0.65
    POSITIVE LOGITS
    laughter
    1.16
    pread
    0.95
     Mans
    0.95
    plain
    0.94
    hap
    0.85
    allah
    0.85
    mur
    0.82
    omal
    0.80
    chwitz
    0.79
    mans
    0.79
    Activations Density 0.011%

    No Known Activations