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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. 10-RES-JB
    11. 5463
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    Explanations

    phrases related to sports groups or competitions

    oai_token-act-pair · gpt-3.5-turbo

    references to sports groups or teams and their standings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    shire
    -0.74
     Dame
    -0.73
     Advocate
    -0.65
    DAY
    -0.61
     Madison
    -0.60
    netflix
    -0.60
    nces
    -0.60
     Campaign
    -0.60
    peria
    -0.59
    cale
    -0.59
    POSITIVE LOGITS
    think
    1.14
    ings
    1.08
    emonium
    0.82
     cohesion
    0.80
    eners
    0.79
     sizes
    0.78
    INGS
    0.76
    leader
    0.76
    stage
    0.75
    ages
    0.75
    Activations Density 0.056%

    No Known Activations