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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. 9735
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    Explanations

    locations or regions, particularly focusing on northern and southern areas

    oai_token-act-pair · gpt-3.5-turbo

    references to specific geographical regions, particularly northern and southern locations

    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
    Sharp
    -1.02
    Deal
    -0.81
    Pool
    -0.78
    endi
    -0.78
    Money
    -0.76
    List
    -0.76
    Filter
    -0.74
    Serv
    -0.74
    Applic
    -0.72
    Dig
    -0.71
    POSITIVE LOGITS
    most
    1.21
     hemisphere
    1.20
     regions
    0.99
     provinces
    0.88
     periphery
    0.85
     suburbs
    0.84
     region
    0.82
     Hemisphere
    0.82
     areas
    0.78
     countryside
    0.78
    Activations Density 0.030%

    No Known Activations