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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. 2-RES-JB
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    Explanations

    instances of laughter

    oai_token-act-pair · gpt-3.5-turbo

    instances of laughter and humor

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĪĴ
    -0.74
    cycl
    -0.72
    ighth
    -0.69
     bearer
    -0.69
    yt
    -0.67
     redes
    -0.64
    jas
    -0.64
    ction
    -0.64
     IX
    -0.64
    eve
    -0.63
    POSITIVE LOGITS
    Laughs
    1.23
    laughs
    1.14
    laughter
    0.89
    HAEL
    0.85
    ause
    0.81
    laugh
    0.78
    swers
    0.72
    terson
    0.71
     Damian
    0.69
     Interpret
    0.68
    Activations Density 0.015%

    No Known Activations