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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
    11. 4432
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    Explanations

    mentions of sports series or competitions

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "series" across various contexts

    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
    azon
    -0.71
    asus
    -0.70
    input
    -0.68
    ria
    -0.67
    ment
    -0.66
    hari
    -0.65
    accompanied
    -0.65
    orders
    -0.65
    eous
    -0.64
    asonic
    -0.64
    POSITIVE LOGITS
     opener
    0.92
     MVP
    0.85
     Finals
    0.83
     playoff
    0.81
     finale
    0.80
     playoffs
    0.80
     rematch
    0.79
     matchups
    0.75
     semifinals
    0.75
     Playoffs
    0.75
    Activations Density 0.026%

    No Known Activations