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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. 5515
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    INDEX
    Explanations

    referenced to a sports team or its activities

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the actions and statuses of a specific team or group

    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
    activ
    -0.70
    urring
    -0.70
    fold
    -0.66
     filtering
    -0.65
     panels
    -0.65
    uters
    -0.64
     pane
    -0.64
     testifying
    -0.64
     postings
    -0.64
    visible
    -0.64
    POSITIVE LOGITS
     Athletic
    0.98
     unbeaten
    0.97
     scrimmage
    0.97
     preseason
    0.97
     undefeated
    0.96
     fanbase
    0.92
     midfield
    0.90
     playoff
    0.90
     Playoff
    0.89
     stadium
    0.86
    Activations Density 0.156%

    No Known Activations