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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. 3-RES-JB
    11. 5330
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    Explanations

    words related to a specific product or service called "Quick."

    oai_token-act-pair · gpt-3.5-turbo

    the repeated use of the term "Quick" as it relates to various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    çĶ°
    -0.74
    gdala
    -0.73
    Ãį
    -0.72
    åĨ
    -0.70
    INA
    -0.69
    ktop
    -0.69
    MET
    -0.68
    ittal
    -0.67
    âĹ¼
    -0.67
    untled
    -0.66
    POSITIVE LOGITS
    itude
    1.03
    ly
    0.93
    ening
    0.92
    lime
    0.91
    fix
    0.90
    ened
    0.86
    Reply
    0.83
    Quick
    0.83
    batch
    0.81
     succession
    0.78
    Activations Density 0.008%

    No Known Activations