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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. 1-RES-JB
    11. 2177
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    Explanations

    locations or places

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the city of Reno and its surrounding references

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lihood
    -0.92
    loss
    -0.84
    spring
    -0.81
    ãĤ¼ãĤ¦ãĤ¹
    -0.77
    nesses
    -0.75
    upon
    -0.71
    rag
    -0.70
    aum
    -0.68
     Kurd
    -0.68
    ollow
    -0.67
    POSITIVE LOGITS
     Reno
    1.07
    quist
    0.95
    NRS
    0.85
     Albuquerque
    0.83
     pepper
    0.72
    eers
    0.69
    esses
    0.68
    jas
    0.67
     Bundy
    0.67
    anca
    0.67
    Activations Density 0.019%

    No Known Activations