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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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    Explanations

    mentions of the company "Sprint"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the telecommunications company Sprint

    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
    arial
    -0.81
    epad
    -0.73
    arist
    -0.71
     Kubrick
    -0.68
    warm
    -0.67
    emis
    -0.67
    rogens
    -0.67
    jamin
    -0.67
    annis
    -0.66
     mort
    -0.65
    POSITIVE LOGITS
    DAQ
    0.90
    Mobile
    0.88
     Unlimited
    0.82
     Mobility
    0.75
    rats
    0.74
    Plus
    0.74
    EED
    0.72
    SQL
    0.72
    Pack
    0.72
     Sprint
    0.72
    Activations Density 0.007%

    No Known Activations