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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. 5221
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    Explanations

    age ranges

    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
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    No Comments

    Negative Logits
     Whole
    -0.72
     Init
    -0.71
     FANT
    -0.71
     ART
    -0.71
     Schwe
    -0.69
     SpaceX
    -0.68
     threads
    -0.68
     AMA
    -0.67
     Buffer
    -0.66
     HELL
    -0.66
    POSITIVE LOGITS
    lvl
    1.03
    swick
    1.00
    vantage
    0.99
    sie
    0.97
    option
    0.95
    degree
    0.95
    lege
    0.95
    riter
    0.94
    elong
    0.94
    iliate
    0.94
    Activations Density 0.202%

    No Known Activations