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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 4-RES-JB
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    references related to the city of San Francisco

    oai_token-act-pair · gpt-3.5-turbo

    references to San Francisco (SF)

    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
    lain
    -0.91
    stall
    -0.83
    abase
    -0.73
    taker
    -0.71
    berus
    -0.68
     Kant
    -0.67
    iasis
    -0.67
    gie
    -0.66
    tan
    -0.66
    etsk
    -0.66
    POSITIVE LOGITS
    SF
    1.04
    PD
    1.03
    WA
    0.99
     Chronicle
    0.98
    ORTS
    0.95
     SF
    0.92
    DC
    0.91
    ML
    0.90
    ORE
    0.89
    PB
    0.87
    Activations Density 0.006%

    No Known Activations