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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. 4-RES-JB
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    Explanations

    locations or landmarks, specifically related to the Rio Grande

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "Rio Grande" as well as related geographical and cultural references

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

    No Comments

    Negative Logits
    manship
    -0.73
    worthiness
    -0.71
    istant
    -0.68
    cens
    -0.68
    fixed
    -0.67
    rooms
    -0.66
    anish
    -0.66
    company
    -0.66
    hire
    -0.66
    cling
    -0.65
    POSITIVE LOGITS
     Grande
    1.06
     mosqu
    0.77
     Valley
    0.77
     Sioux
    0.74
    xit
    0.72
    oise
    0.72
     Prairie
    0.71
     Mesa
    0.71
     Delta
    0.71
    igue
    0.70
    Activations Density 0.015%

    No Known Activations