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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. 15618
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    Explanations

    words related to creating an impact or emotional response

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to impactful expressions or emotions that resonate with others

    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
    gradation
    -0.76
    nces
    -0.74
    omore
    -0.72
     Kardash
    -0.67
     overwhelmed
    -0.66
    uploads
    -0.63
     dehydration
    -0.60
    housing
    -0.60
     meltdown
    -0.60
     upkeep
    -0.59
    POSITIVE LOGITS
     chord
    0.81
    ellow
    0.79
    tale
    0.71
     balance
    0.71
    Pattern
    0.69
    aeda
    0.69
     gloomy
    0.68
     pall
    0.67
     stone
    0.66
     likeness
    0.65
    Activations Density 0.234%

    No Known Activations