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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. 8-RES-JB
    11. 11853
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    Explanations

    numerical values or measurements embedded within text

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word "survivor" or words related to survival and endurance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Alz
    -0.67
     frank
    -0.67
     Kush
    -0.67
     Reich
    -0.64
     Wicked
    -0.63
     brim
    -0.60
     Osw
    -0.59
     Kinnikuman
    -0.59
     Grizz
    -0.59
    yip
    -0.58
    POSITIVE LOGITS
    able
    0.89
    urable
    0.89
    iors
    0.85
    ances
    0.84
    ables
    0.83
    ous
    0.83
    ability
    0.82
    ility
    0.78
    abled
    0.78
    iform
    0.78
    Activations Density 0.167%

    No Known Activations