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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. 4864
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    Explanations

    emotions and sentiments related to happiness

    oai_token-act-pair · gpt-3.5-turbo

    expressions of happiness and satisfaction

    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
    •layer 9 - joy

    No Comments

    Negative Logits
    çīĪ
    -0.78
    uli
    -0.74
    perse
    -0.73
    ciplinary
    -0.69
    dor
    -0.68
    ourage
    -0.68
    cano
    -0.67
    acists
    -0.66
    oug
    -0.66
    iban
    -0.66
    POSITIVE LOGITS
     endings
    0.74
     happily
    0.71
    joy
    0.71
     liv
    0.67
     with
    0.64
    comed
    0.64
     mum
    0.64
     Meal
    0.63
     happiest
    0.62
     enough
    0.62
    Activations Density 0.041%

    No Known Activations