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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 0-RES-JB
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    Explanations

    words related to emotional states of anger or frustration

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "mad."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    particip
    -0.73
     Participants
    -0.72
    iencies
    -0.72
    DEP
    -0.70
    icity
    -0.68
     Landing
    -0.65
     Avg
    -0.65
     Compass
    -0.64
     PHI
    -0.64
    Sec
    -0.64
    POSITIVE LOGITS
     mad
    3.54
    mad
    2.28
    Mad
    1.80
     Mad
    1.67
     MAD
    1.65
     insane
    1.63
     crazy
    1.51
     madness
    1.44
     maniac
    1.38
     pissed
    1.32
    Activations Density 0.014%

    No Known Activations