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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. 11-RES-JB
    11. 888
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    INDEX
    Explanations

    comparisons of quantities or degrees

    oai_token-act-pair · gpt-3.5-turbo

    intensifiers that modify adjectives or adverbs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    going
    -0.72
    DragonMagazine
    -0.63
    nexus
    -0.59
    isable
    -0.59
    smith
    -0.58
    iHUD
    -0.58
     understatement
    -0.57
    Kar
    -0.56
     Operating
    -0.55
     Maritime
    -0.55
    POSITIVE LOGITS
     vigorously
    1.37
     harshly
    1.33
     badly
    1.31
     aggressively
    1.29
     loudly
    1.27
     extensively
    1.27
     forcefully
    1.26
     strongly
    1.26
     intensely
    1.23
     closely
    1.22
    Activations Density 0.140%

    No Known Activations