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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. 6862
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    Explanations

    phrases indicating a range or interval of values

    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
    OGR
    -0.82
    rav
    -0.81
    gow
    -0.75
    jew
    -0.72
    awaru
    -0.68
    insula
    -0.68
    justice
    -0.68
    pot
    -0.68
    eto
    -0.68
    rats
    -0.66
    POSITIVE LOGITS
     halves
    0.91
     sexes
    0.84
     genders
    0.80
     January
    0.80
     1910
    0.77
     1932
    0.75
     1945
    0.74
     midnight
    0.74
     1975
    0.74
     1981
    0.74
    Activations Density 0.038%

    No Known Activations