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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. 7-RES-JB
    11. 20872
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    Explanations

    phrases related to living arrangements, particularly focusing on the location or type of place someone lives

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to living arrangements or situations on a rural farm

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    IJ
    -0.82
    */(
    -0.74
    EY
    -0.72
     Flavoring
    -0.72
    ¿½
    -0.71
    İ
    -0.70
    orsi
    -0.69
    £ı
    -0.68
    vous
    -0.68
     stride
    -0.68
    POSITIVE LOGITS
     cramped
    0.79
     estates
    0.77
     caves
    0.76
     Airbnb
    0.76
     dest
    0.75
     rented
    0.75
     tents
    0.75
     apartments
    0.74
     condo
    0.72
     poverty
    0.71
    Activations Density 0.180%

    No Known Activations