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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. 16086
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    Explanations

    words related to pleasure or pain

    oai_token-act-pair · gpt-3.5-turbo

    words expressing extreme emotions, particularly happiness and suffering

    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
    Not in Any Lists

    No Comments

    Negative Logits
     delinqu
    -0.83
    plates
    -0.67
    drivers
    -0.66
    cler
    -0.64
     juveniles
    -0.64
    models
    -0.64
     Eag
    -0.63
     Flint
    -0.61
     Prospect
    -0.61
     pige
    -0.61
    POSITIVE LOGITS
     bliss
    1.21
    mares
    1.08
    urous
    1.05
    terness
    0.96
    fully
    0.94
    waves
    0.90
     Bliss
    0.88
    urable
    0.87
    ful
    0.85
    etheless
    0.83
    Activations Density 0.016%

    No Known Activations