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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 a specific location, which is Vancouver in this case, especially related to sports teams and events

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the city of Vancouver

    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
    ktop
    -0.90
    mble
    -0.82
    baugh
    -0.78
    maid
    -0.77
    ppo
    -0.75
    bler
    -0.75
    ãĥĻ
    -0.72
    istration
    -0.72
    Topic
    -0.71
    á½
    -0.69
    POSITIVE LOGITS
     Canucks
    1.16
     Island
    0.98
     Lumpur
    0.94
     Vancouver
    0.94
     Beckham
    0.89
     Province
    0.88
    ancouver
    0.87
     Harbour
    0.85
    ites
    0.81
     Coastal
    0.80
    Activations Density 0.016%

    No Known Activations