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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. 9-RES-JB
    11. 19585
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    Explanations

    words related to physical actions and events

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to intense physical reactions or effects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    é¾įå
    -0.85
    abase
    -0.81
    esan
    -0.69
     responsibly
    -0.68
    orthy
    -0.67
     upbringing
    -0.67
     pedigree
    -0.66
    cest
    -0.66
    Trust
    -0.66
    levard
    -0.65
    POSITIVE LOGITS
     uncontroll
    1.22
    emonium
    1.15
     trem
    1.14
     burst
    1.12
     flashes
    1.11
     gasp
    1.07
     hallucinations
    1.07
     explosion
    1.07
     violently
    1.06
     laughter
    1.05
    Activations Density 0.744%

    No Known Activations