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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. 1-RES-JB
    11. 24040
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    INDEX
    Explanations

    references to personal satisfaction or happiness

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to satisfaction and dissatisfaction

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •layer 1 - happiness

    No Comments

    Negative Logits
     ALS
    -0.68
     Foss
    -0.66
    foot
    -0.66
    ker
    -0.63
    father
    -0.62
     Berk
    -0.62
     Americ
    -0.62
     Alz
    -0.62
    NAS
    -0.61
    bin
    -0.61
    POSITIVE LOGITS
     satisfaction
    1.69
    atisf
    1.34
    terness
    1.15
     Satisf
    1.15
     gratification
    1.13
     enjoyment
    1.10
     satisfied
    1.04
     fulfil
    0.94
     assurance
    0.93
     fulfillment
    0.93
    Activations Density 0.007%

    No Known Activations