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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 6-RES-JB
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    Explanations

    mentions of the sports team "Toronto Maple Leafs."

    oai_token-act-pair · gpt-3.5-turbo

    references to the Toronto Maple Leafs hockey team

    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
    shell
    -0.75
    esson
    -0.71
    nels
    -0.71
    ded
    -0.69
    auntlets
    -0.68
    esters
    -0.67
    swing
    -0.67
     Bland
    -0.65
    swick
    -0.65
    schild
    -0.64
    POSITIVE LOGITS
     Leafs
    0.87
    pora
    0.77
    ¬¼
    0.73
    mania
    0.69
    uten
    0.69
     FC
    0.68
     Gardens
    0.64
     mosqu
    0.64
     hous
    0.64
    £ı
    0.62
    Activations Density 0.040%

    No Known Activations