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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 4-RES-JB
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    Explanations

    mentions of the Hilton hotel chain

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the Hilton brand

    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
    */(
    -0.79
    atically
    -0.76
     Izan
    -0.69
    FTWARE
    -0.69
    anwhile
    -0.69
     defin
    -0.69
    osion
    -0.69
     jaws
    -0.68
    cular
    -0.68
    reenshots
    -0.67
    POSITIVE LOGITS
     Hotel
    1.05
     Hilton
    1.02
     Marriott
    0.83
     Coliseum
    0.82
    sburg
    0.78
    ilton
    0.76
     hotel
    0.73
     hotels
    0.71
     Bunny
    0.68
    ilitarian
    0.68
    Activations Density 0.010%

    No Known Activations