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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. 6-RES-JB
    11. 9745
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    INDEX
    Explanations

    phrases related to cleanliness and environmental care

    oai_token-act-pair · gpt-3.5-turbo

    references to media and entertainment industries

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SPONSORED
    -0.80
    pport
    -0.75
    natureconservancy
    -0.74
    arsity
    -0.70
    eele
    -0.68
    atown
    -0.65
    odan
    -0.64
    imov
    -0.64
    anova
    -0.64
    itect
    -0.64
    POSITIVE LOGITS
    DragonMagazine
    0.93
    ishable
    0.85
     linen
    0.78
     disinfect
    0.78
    atche
    0.73
    cloth
    0.72
    clean
    0.70
    sheets
    0.70
     paste
    0.70
     dehyd
    0.69
    Activations Density 0.432%

    No Known Activations