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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. 6-RES-JB
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    Explanations

    mentions of the company 'T-Mobile'

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the telecommunications company T-Mobile

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ferment
    -0.80
    orian
    -0.77
     Frie
    -0.76
    glers
    -0.74
    ablishment
    -0.73
    cair
    -0.72
    cens
    -0.71
    orical
    -0.71
    arist
    -0.71
    hal
    -0.70
    POSITIVE LOGITS
    Mobile
    0.97
     Corporation
    0.89
     Stores
    0.87
    Nation
    0.82
     Holdings
    0.81
     Wireless
    0.80
     subscribers
    0.77
     Mobility
    0.76
     Marketing
    0.76
     Communications
    0.75
    Activations Density 0.017%

    No Known Activations