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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. 6-RES-JB
    11. 15528
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    Explanations

    specific terms or phrases related to technical subjects or information

    oai_token-act-pair · gpt-3.5-turbo

    elements related to identity and categories of people

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Entered
    -0.66
     awoken
    -0.60
     Transformers
    -0.58
     Sussex
    -0.57
     cas
    -0.55
     Windsor
    -0.54
     sar
    -0.53
    minist
    -0.53
     Rot
    -0.53
     Quebec
    -0.53
    POSITIVE LOGITS
    ãĥ¼ãĥĨ
    0.73
    erate
    0.69
    ived
    0.68
    URA
    0.67
    imilation
    0.67
    SPONSORED
    0.66
    ngth
    0.64
    REP
    0.64
    lite
    0.64
    %.
    0.63
    Activations Density 1.189%

    No Known Activations