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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 2-RES-JB
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    text related to the emotion of anger

    oai_token-act-pair · gpt-3.5-turbo

    expressions of anger

    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
    •layer 2 - anger

    No Comments

    Negative Logits
    ©¶æ
    -0.83
    estinal
    -0.76
    eah
    -0.75
    İĭ
    -0.75
    abeth
    -0.71
    ichick
    -0.67
     Janeiro
    -0.66
    ighth
    -0.64
    itions
    -0.61
    ¾
    -0.61
    POSITIVE LOGITS
    anger
    1.10
    ously
    0.85
    ous
    0.82
    angers
    0.78
    rage
    0.74
    OUS
    0.69
     unlaw
    0.68
    mong
    0.66
    azi
    0.66
    fire
    0.65
    Activations Density 0.005%

    No Known Activations