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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. 4-RES-JB
    11. 2977
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    INDEX
    Explanations

    the word "trim" followed by numbers

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to cutting or reducing excess

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

    No Comments

    Negative Logits
     Sioux
    -0.70
     Nations
    -0.69
     States
    -0.67
     Worldwide
    -0.67
     Croat
    -0.66
     Georg
    -0.66
     Correspond
    -0.65
     Confederation
    -0.65
     Mobil
    -0.65
     lawy
    -0.65
    POSITIVE LOGITS
    ming
    1.33
    ethy
    1.14
    ahime
    0.99
    utations
    0.92
    icides
    0.91
     trim
    0.90
    aditional
    0.90
    eness
    0.89
    ission
    0.89
    utation
    0.88
    Activations Density 0.012%

    No Known Activations