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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. 9-RES-JB
    11. 20132
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    Explanations

    phrases related to sports events and athletes

    oai_token-act-pair · gpt-3.5-turbo

    references to sports games or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     barr
    -0.94
     organisers
    -0.80
     interven
    -0.75
     organising
    -0.75
     learnt
    -0.72
     Franç
    -0.72
     mobil
    -0.71
     MEP
    -0.71
    Drag
    -0.71
     Sinn
    -0.71
    POSITIVE LOGITS
     quarterback
    1.06
     Bucs
    1.04
     QB
    1.04
    Detroit
    0.98
     Peyton
    0.97
     playoff
    0.95
     Manziel
    0.94
     Detroit
    0.94
    Atlanta
    0.93
    NFL
    0.92
    Activations Density 0.335%

    No Known Activations