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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. 2-RES-JB
    11. 15400
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    Explanations

    words related to complaints or complications

    oai_token-act-pair · gpt-3.5-turbo

    terms related to complaints or issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    EStream
    -0.84
    »Ĵ
    -0.79
    hyde
    -0.78
    selection
    -0.77
     garlic
    -0.71
    eele
    -0.67
    bill
    -0.67
    doors
    -0.67
    conservancy
    -0.66
    ctors
    -0.64
    POSITIVE LOGITS
    aints
    0.95
    acent
    0.94
    aint
    0.93
    ications
    0.92
     Compl
    0.92
    icated
    0.92
    iance
    0.92
    icit
    0.92
    icating
    0.87
    ustration
    0.86
    Activations Density 0.008%

    No Known Activations