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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. 2-RES-JB
    11. 21392
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    INDEX
    Explanations

    mentions of the word "buff" or its variations in different contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "buff" or variations of it, suggesting a focus on characters or individuals that are perceived as strong or exaggerated in some manner

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ________________________
    -0.75
     Flavoring
    -0.73
     Stras
    -0.70
    AMY
    -0.69
    FTWARE
    -0.67
    VEN
    -0.63
    Gameplay
    -0.61
     Reign
    -0.61
     sentencing
    -0.61
     Predators
    -0.61
    POSITIVE LOGITS
    alos
    1.10
     buff
    1.05
    ered
    1.05
     Buff
    0.98
    buff
    0.98
    alo
    0.96
    alon
    0.93
    aroo
    0.90
    aign
    0.89
    ering
    0.89
    Activations Density 0.005%

    No Known Activations