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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 term "Columbia" referring to various entities or locations

    oai_token-act-pair · gpt-3.5-turbo

    references to "Columbia" or institutions associated with that name

    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
    chers
    -0.74
    ugal
    -0.71
    visor
    -0.70
    cher
    -0.70
    olkien
    -0.69
    idious
    -0.69
     compuls
    -0.67
    chest
    -0.66
    htaking
    -0.66
    inventory
    -0.64
    POSITIVE LOGITS
     Heights
    1.03
     River
    1.00
     Pictures
    0.93
     Journalism
    0.91
     Canal
    0.86
     Columbia
    0.86
     Broadcasting
    0.85
     University
    0.81
     Pike
    0.80
     Gorge
    0.77
    Activations Density 0.013%

    No Known Activations