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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
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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
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    No Comments

    Negative Logits
    earch
    -0.74
    adder
    -0.70
    ariat
    -0.69
    geist
    -0.65
    ordered
    -0.64
    ospace
    -0.62
    blem
    -0.62
    estate
    -0.62
    thinkable
    -0.62
    MpServer
    -0.61
    POSITIVE LOGITS
     ILCS
    0.79
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    0.77
     SOME
    0.69
     PUBLIC
    0.67
     Description
    0.66
    cloneembedreportprint
    0.66
     ADD
    0.66
    ÃĥÃĤÃĥÃĤ
    0.66
     Location
    0.65
    umbn
    0.65
    Activations Density 0.203%

    No Known Activations