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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. 3-RES-JB
    11. 17585
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    INDEX
    Explanations

    phrases related to inconvenience or unnecessary commotion

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "fuss" or excessive concern

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ramer
    -0.69
    ACTED
    -0.69
     fullest
    -0.66
     prison
    -0.64
    undai
    -0.62
    oding
    -0.60
     openings
    -0.60
    ĻĤ
    -0.60
     prisoner
    -0.60
     blueprint
    -0.60
    POSITIVE LOGITS
    engers
    1.04
    naire
    1.02
    iness
    0.97
     fuss
    0.95
    naires
    0.93
    eful
    0.85
    iest
    0.82
    enger
    0.81
    achu
    0.80
    rodu
    0.78
    Activations Density 0.008%

    No Known Activations