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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. 20307
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    Explanations

    references to a specific geographical location, Moscow

    oai_token-act-pair · gpt-3.5-turbo

    references to the city of Moscow

    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
    âĢ¢âĢ¢âĢ¢âĢ¢
    -0.82
    Thom
    -0.79
    ICAN
    -0.79
    âķIJâķIJ
    -0.77
    HM
    -0.74
    AAAA
    -0.73
    pir
    -0.73
    ERA
    -0.72
    IRD
    -0.71
    SHARE
    -0.71
    POSITIVE LOGITS
     rall
    1.12
     Moscow
    1.05
     Lumpur
    0.99
     Kremlin
    0.96
    ascus
    0.87
    achev
    0.81
    kaya
    0.78
    Moscow
    0.77
     mosqu
    0.76
    akov
    0.75
    Activations Density 0.005%

    No Known Activations