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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. 4-RES-JB
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    Explanations

    mentions of the company "Uber."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the ride-sharing service Uber

    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
    sembly
    -0.77
    ãĥ¯
    -0.74
    olesterol
    -0.72
     comprom
    -0.70
    orial
    -0.67
    ãĥł
    -0.67
     Seym
    -0.66
    adow
    -0.65
    ä¿
    -0.65
    eworks
    -0.65
    POSITIVE LOGITS
    Pool
    0.86
    mens
    0.83
    lane
    0.76
    uber
    0.74
    culosis
    0.73
     Lyft
    0.72
    onomy
    0.70
    conn
    0.70
    Uber
    0.69
    whe
    0.69
    Activations Density 0.013%

    No Known Activations