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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. 20296
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    Explanations

    mentions of the word "patron" or variations of the word like "patronizing", "patronise", etc

    oai_token-act-pair · gpt-3.5-turbo

    the word "ron" and its variations

    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
    tub
    -0.83
    TPS
    -0.77
     Jackets
    -0.69
     SOS
    -0.67
    UGE
    -0.66
    URA
    -0.66
     Saras
    -0.64
    reement
    -0.64
    AY
    -0.63
    EMP
    -0.63
    POSITIVE LOGITS
    auts
    1.02
    aldo
    0.98
     Collider
    0.96
    stadt
    0.90
    ising
    0.89
    igans
    0.88
    omical
    0.87
    ized
    0.84
    ially
    0.83
    ounced
    0.83
    Activations Density 0.018%

    No Known Activations