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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. 2012
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    INDEX
    Explanations

    words related to strong emotions or opinions

    oai_token-act-pair · gpt-3.5-turbo

    expressions of passionate emotion and intensity

    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
     robber
    -0.74
     distance
    -0.70
     dick
    -0.68
     reckoning
    -0.65
     rapist
    -0.65
     distraction
    -0.64
     RSA
    -0.63
     transmission
    -0.63
     Annotations
    -0.62
     purse
    -0.62
    POSITIVE LOGITS
    orously
    1.56
    orous
    1.47
    our
    1.45
    ouring
    1.36
    ored
    1.34
    ours
    1.33
    ently
    1.32
    ency
    1.27
    oured
    1.23
    orescence
    1.22
    Activations Density 0.067%

    No Known Activations