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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. 8-RES-JB
    11. 10365
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    Explanations

    phrases related to locations, possibly focusing on cities and airports

    oai_token-act-pair · gpt-3.5-turbo

    geographical locations and identifiers associated with them

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     resil
    -0.66
     Capcom
    -0.65
     hitters
    -0.64
     rusher
    -0.64
     sleeve
    -0.64
     VMware
    -0.63
     ticket
    -0.62
     stunts
    -0.62
     shenan
    -0.61
     glitches
    -0.61
    POSITIVE LOGITS
    wana
    1.01
    pora
    0.99
    ku
    0.96
    oba
    0.96
    hari
    0.95
    isha
    0.94
    awi
    0.93
    oi
    0.93
    raq
    0.92
    oola
    0.89
    Activations Density 0.289%

    No Known Activations