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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. 2443
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    Explanations

    names of people

    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
     manipulating
    -0.69
     '.
    -0.69
     respecting
    -0.66
     tram
    -0.65
     '
    -0.64
     discriminated
    -0.63
     interfering
    -0.61
     partying
    -0.60
     wherever
    -0.60
     Marketable
    -0.59
    POSITIVE LOGITS
    zinski
    0.86
    auer
    0.83
    anson
    0.81
    elsen
    0.81
    aretz
    0.80
    aney
    0.80
     said
    0.78
    yden
    0.74
    onne
    0.73
    orio
    0.73
    Activations Density 0.263%

    No Known Activations