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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    references to the city of Melbourne

    oai_token-act-pair · gpt-3.5-turbo

    references to the city of Melbourne

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Magikarp
    -0.75
    Topic
    -0.75
    toggle
    -0.74
    abet
    -0.74
     holiest
    -0.72
    redo
    -0.71
    loading
    -0.71
    road
    -0.70
    hiro
    -0.70
    gger
    -0.70
    POSITIVE LOGITS
     Lumpur
    1.01
     Gardens
    0.96
     Melbourne
    0.82
     Harbour
    0.77
    bourne
    0.77
     barr
    0.76
     Herald
    0.75
     suburb
    0.75
     Ports
    0.75
     mosqu
    0.73
    Activations Density 0.004%

    No Known Activations