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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 330
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    Explanations

    words related to emotions, particularly anger

    oai_token-act-pair · gpt-3.5-turbo

    words associated with feelings of anger or related emotions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •layer 5 - anger

    No Comments

    Negative Logits
    ©¶æ
    -1.04
    eah
    -0.93
    ©¶æ¥µ
    -0.91
    prus
    -0.85
    ichick
    -0.83
    İĭ
    -0.79
    ithing
    -0.78
    estinal
    -0.78
    cling
    -0.78
    cled
    -0.74
    POSITIVE LOGITS
    ously
    1.10
    ous
    1.00
    OUS
    0.86
    xual
    0.85
    anger
    0.79
     Jinn
    0.71
    ishly
    0.70
    azine
    0.69
    oes
    0.67
    deen
    0.66
    Activations Density 0.021%

    No Known Activations